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Job Description:

NOTE: This role is based in NYC and requires a minimum of three days a week in the SoHo, NY office.

THE OPPORTUNITY

Are you a strategic thinker with a passion for data? Do you want to make a real impact on how readers, educators, and families around the world connect with books and educational resources? If so, we have the perfect opportunity for you!

About Us: At Scholastic’s Digital Services division, we partner with all lines of business — Book Fairs, Book Clubs, Education Solutions, and Trade Publishing — to craft innovative data and digital strategies. Our mission is to strengthen our bond with readers, educators, and families globally.

The Role: Data Product Associates sit within the Data Products team, part of the Data & Analytics (DNA) group, which operates under the Digital Services division. This role reports into Business Intelligence Manager.

Data Product Associates contribute to large-scale analytical initiatives that involve data modeling and visualization, primarily using Power BI. They are engaged throughout the entire lifecycle of data projects—from initial scoping and exploratory analysis to productionalization, presentation, and ongoing maintenance.

In this role, you will collaborate closely with key stakeholders across the business to design and deliver effective reporting solutions that meet strategic and operational needs.

The role is based in Soho, NY, and requires being in the office three days per week on Tuesday, Wednesday, and Thursday.

RESPONSIBILITIES

Develop and maintain semantic data models in Power BI
Design and build effective report interfaces
Assist with data quality checks and troubleshooting
Support stakeholder communications and reporting preparation
Explore and apply new Power BI features and techniques

About Scholastic

For more than 100 years, Scholastic Corporation (NASDAQ: SCHL) has been meeting children where they are – at school, at home and in their communities – by creating quality content and experiences, all beginning with literacy. Scholastic delivers stories, characters, and learning moments that empower all kids to become lifelong readers and learners through bestselling children’s books, literacy- and knowledge-building resources for schools including classroom magazines, and award-winning, entertaining children's media. As the world's largest publisher and distributor of children's books through school-based book clubs and book fairs, classroom libraries, school and public libraries, retail, and online, and with a global reach into more than 135 countries, Scholastic encourages the personal and intellectual growth of all children, while nurturing a lifelong relationship with reading, themselves, and the world around them. Learn more at www.scholastic.com.

Some benefits that we offer:

Full suite of health and wellness benefits (including a $0 deductible Medical Plan)
Retirement Savings Plan 401(k) with options for both Roth and Traditional Contributions
Tuition-Free programs for undergraduate and graduate degrees
Generous Parental Leave Program
Employee Stock Purchase Plan (ESPP) with opportunity for discounted stock at a 15% discount

Thank you for your consideration in choosing Scholastic.

Qualifications

HOW YOU CAN FIT (Qualifications)

Knowledge, Skills, and Abilities:

Familiar with a self-service data visualization tool, preferably Power BI
Basic understanding of data modeling concepts – tables, relationships, and basic model design
SQL skills for purposes of data extraction, transformation, cleaning and analysis
Problem-solving ability, logical reasoning, creative thinking and quantitative aptitude
Strong Excel skills in analysis and charting

Preferred (but not required) Skills and Knowledge:

Redshift/ SQL Server database experience
Working with SQL for data wrangling or analysis

Experience:

0–1 years of experience working with reporting or data visualization tools, preferably Power BI (internships, academic projects, or self-directed learning acceptable)
Exposure to data analysis, visualization, or reporting through coursework, capstone projects, internships, or freelance work

Education: Undergraduate/Graduate degree in business administration, finance, computer science, math, statistics, engineering or other quantitative discipline

Time Type:

Full time

Job Type:

Regular

Job Family Group:

Information Technology

Location Region/State:

New York

Compensation Range:

Annual Salary: 80,000.00 - 90,000.00

EEO Statement:

Scholastic is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of race, religion, color, sex, pregnancy, national origin, marital status, sexual orientation, gender identity or expression, age, non-disqualifying physical or mental disability, or status as a disabled veteran or Vietnam veteran. Those factors shall not influence the determination of qualifications for a job or other opportunity within the company. Further, all personnel actions (such as compensation, tuition aid, benefits, transfers, promotions, and dismissals, company-sponsored training, social and recreational programs) shall be administered without discrimination.

EEO is the Law Poster

EEO Scholastic Policy Statement

Pay Transparency Provision

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Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

About the Team

Join a team that is redefining how data powers decision-making at NBCUniversal. As part of the Data Product Management group within the Media Group’s Decision Sciences organization, our mission is to accelerate insights and improve efficiency by delivering integrated data through a unified technology stack.

The Role

As an Analyst in Data Product Management, you will join a collaborative, forward-thinking team that treats data as a product. You will work alongside experienced professionals to build and evolve data products that drive measurable impact across NBCUniversal’s media portfolio. This is a unique opportunity to gain hands-on experience in managing the full lifecycle of data products – from ideation and development to deployment and iteration.

Responsibilities

Contribute to the development and enhancement of data products that support decision-making across NBCUniversal Media Group.
Support the creation and maintenance of dashboards and data visualization tools that deliver actionable insights.
Own and manage the intake process for dashboard publications to our central reporting platform.
Partner with analytics teams to lead info share sessions and support end users of our data reporting tools.
Analyze product usage and performance data to identify areas for improvement.
Assist in testing, validating, and optimizing data products to ensure accuracy and scalability.
Learn and apply best practices in data product management, with mentorship from experienced team members.

Qualifications

Qualifications

Bachelor’s degree or equivalent experience in a related field (e.g.: Business, Data Science, Information Systems).
Strong analytical and critical thinking skills, with attention to detail and quality control.
Clear verbal and written communication skills, with the ability to collaborate effectively in a team environment.
Passion for data and eagerness to learn and apply innovative technologies and methodologies.
Familiarity with tools such as Excel and SQL for data analysis and manipulation.
Exposure to data visualization tools (e.g.: Tableau) is a plus.
Experience with project tracking or collaboration tools (e.g.: Jira, Confluence) is a plus.

Additional Requirements

This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $100,000 - $130,000.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

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Company Description

Lendi Group is a market-leading digital platform business that is focused on revolutionising the entire property journey. It operates Lendi - Australia’s original and #1 digital mortgage brand - and the iconic Aussie franchise.

Powered by an advanced AI proprietary platform, a national network of 1,300 brokers, 230 retail stores, a team of experienced buyer’s agents, integrated property search and conveyancing, Aussie is supporting customers at every step of their property journey to find, buy and own with more confidence than ever before. Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024.

To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/

Why Join Us?

Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions.
Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.

As the Lead – Data Products, you will be responsible for the strategy, delivery, governance, and lifecycle management of Lendi Group’s core curated and governed data assets. This includes key foundational products such as out Customer and Property Bureaus and gold-layer data products that support analytics, AI/ML, reporting, and operational use cases.

You will oversee the development of certified semantic models in PowerBI, management of data transformation pipelines in dbt Cloud, and work closely with data engineers, analysts, and data scientists to ensure consistency, quality, and reusability across the enterprise.

You will also be accountable for leading the AI Native transformation roadmap for the Data Supergroup, including initiatives that enable agentic workflows, automation, and intelligent data products. Additionally, you will own the enterprise PowerBI capability within the Microsoft Fabric platform, including platform maintenance, evolution of reporting architecture, and the strategic roadmap for expanding reporting assets in close partnership with the Analytics & Data Science Lead and Business Performance Lead.

This role is central to Lendi’s transition to an AI Native organisation, providing trusted, scalable data products that serve as the foundation for intelligent automation and next-generation insight delivery.

Job Description

Data Product Ownership

Define and lead the roadmap for Lendi’s curated data product portfolio.
Own the design, evolution, and lifecycle of key silver/gold layer assets including customer, broker, property, and performance domains.
Ensure semantic and transformation logic reflects accurate, governed business definitions.

Technical Enablement & Platform Oversight

Oversee the build and optimisation of dbt Cloud pipelines that transform raw data into reusable, production-grade datasets.
Guide the development and management of certified PowerBI semantic models within the Microsoft Fabric platform, including DAX metrics, RLS, and standardised hierarchies.
Lead PowerBI maintenance and run operations, while setting the roadmap for scalable, governed, and AI-augmented reporting products.

AI Native Roadmap & Transformation

Lead the Data Supergroup’s AI Native roadmap, delivering enablers for automation, agentic data use, and intelligent decisioning.
Partner with platform, analytics, data science, and governance leads to identify and deliver AI-ready datasets and use cases.
Embed AI/ML readiness and GPT-enablement into curated data products and reporting suites.

Data Governance & Quality

Drive enterprise-wide data governance, metadata standards, and lifecycle practices.
Ensure trust, quality, discoverability, and reusability across all data products.
Champion shared definitions, metric consistency, and regulatory compliance.

Collaboration & Data Activation

Serve as the primary bridge between technical teams and business stakeholders across Product, Distribution, Growth, and Finance.
Translate business needs into high-impact data product solutions.
Partner with Analytics & Data Science to productionise model inputs and enrich analytical use cases.

Qualifications

7+ years of experience in data product, analytics engineering, or BI leadership roles.
Proven experience with dbt Cloud, SQL, and PowerBI semantic model development.
Experience managing PowerBI within enterprise platforms like Microsoft Fabric.
Strong understanding of Medallion architecture and production-grade data modelling practices.
Proven experience leading data governance frameworks and enterprise data stewardship.
Demonstrated ability to deliver AI/ML-enabling data products and support intelligent automation.
Ability to translate complex business needs into structured data products.
Excellent communication and stakeholder engagement skills.
Experience in financial services, fintech, or large-scale multi-channel environments (including retail and partner ecosystems) highly desirable.

Additional Information

Lendi Group teams operate across Australia and the Philippines. Bringing together diverse expertise, innovative technology and a customer-first approach, our teams work seamlessly to simplify the property journey, helping Australians find, buy and own property with confidence.

We support our people in a variety of ways, but a few of the benefits that our people rave about include:

A vibrant, relaxed, yet professional culture.
Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.
A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.
Generous paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.
An additional week’s Loyalty Leave each year after reaching 3 years’ service.
Wellness initiatives with a strong focus on psychological safety.

We’re committed to fostering a diverse and inclusive community at Lendi Group. We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace.

Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.

This is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey.

Ready to contribute to Lendi Group’s next chapter? Apply now and be part of something big!

#lendigroup #LI-GR2 #LI-hybrid

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Job Description

As part of the Business Technology department, this role contributes directly to our company’s strategic ambition of delivering a seamless, data-driven retail experience. We are currently transitioning from a traditional process- and project-based organization to a product-oriented operating model, with technology, data and AI at the heart of this transformation.

Are you passionate about turning raw data into reusable data products, accelerating our growth strategy? Do you love shaping the engineering culture that lets our teams thrive? Then this might be your next adventure!

As Director of Data Products you will be responsible for 8 to 10 multi-disciplinary teams that create and operate the data products for all business domains, from Finance and HR to Supply Chain, Retail and Digital Commerce. As part of the Data, Analytics & AI management team, you will not only drive operational business success but also fuel our global Analytics & Artificial Intelligence products and be involved in key technology choices that sit at the heart of our data architecture.

Leveraging your strong technical background in Data Engineering and Team management, this role requires a blend of technical expertise, strategic vision, and practical execution to drive enterprise-wide impact.

Your accountabilities:

You'll lead a team of Staff Engineers, Engineering and Product Managers, spanning 8–10 cross-functional squads that drive business solutions in Finance, HR, Product & Pricing, Planning & Forecasting, Supply Chain, Retail & Digital Commerce.
Drive the Data Product Strategy and embed product-thinking in data. Leading to trusted, discoverable and self-service available datasets, valuable for various types of consumers across business platforms, Analytics and AI Engineering. Partner with business and product leadership to prioritise the data-product portfolio and influence Rituals’ Data & AI roadmap.
Shape an engineering culture for scale & reliability by championing excellence in CI/CD, automated testing, observability and a “you build it, you run it” mindset. Lead the transition to operational data stores and real-time pipelines serving our customer journey every day.
Drive the continuous modernization of our tech stack, leveraging disruptive technologies like AI within engineering on our Google Cloud Platform ecosystem (BigQuery, DBT, Pub/Sub, Vertex AI, etc.) whilst partnering with our Head of Technology Platforms on succesfull deployment of Rituals platform components and integration patterns.
Manage budget and external partnerships, evaluate and negotiate with vendors, systems integrators and SaaS providers. Ensure contracts, budgets and performance KPIs are met.

Qualifications

You have strong business acumen, a people-first mindset, and a proven track record of shaping business needs into actional data solutions. We’re looking for an experienced peoplemanager who thrives in fast-paced environments, accelerates execution without compromising quality, takes full ownership of outcomes, and confidently stands their ground to drive bold, principled decisions. On top of this, you bring:

15+ years in data engineering, 10+ years leading data, platform, analytics or software engineering teams.
A masters degree in something beta. Entrepreneurship (failed start-ups count) is a plus.
Proven success shipping data products at scale in a product-led, agile environment (e-commerce, payments or retail a plus).
Ability to drive measurable improvements across engineering, delivery and performance metrics
Hands-on experience with concepts like data mesh, data contracts, data governance and team topologies.
Comfortable navigating both strategic discussions with C-level execs and technical deep dives with staff engineers.
Excellent communicator in English; Dutch not required.

This role is based at our Amsterdam HQ (city center). A strong on-site presence is expected to build meaningful connections and lead effectively, therefore living within 1 hour's travel time of Amsterdam is a strong preference.

Why you’ll love this role:

Impact at scale; your data products touch every Rituals customer and colleague, every day.
This role sits at the heart of our Rituals growth strategy, empowering our scaling efforts to open a new store every other day.
You will work together with a variety of leadership roles from across the company to bring Data Products to new heights as a key accelerator, and have the support to make that happen.
Space to innovate the engineering function by discovering GenAI accelerators.
Blend of worlds; apply best in class retail engineering excellence to a certified B-Corp brand obsessed with wellbeing.
Culture that cares, mindfulness programs, hybrid work and legendary team events.

Why Join Us?

Because you want to build something that matters. Embedding programs, processes and tools, improving and simplify. Here, you’ll be surrounded by talented, fun, and driven colleagues who are not afraid to challenge the status quo. We move fast, think big, and always ask how we can do better, for our people and our customers.
\n
\nWe are high on energy, low on ego, and deeply committed to helping our people grow and thrive. If you’re someone who brings inspiration, execution, and heart and ready to bring product thinking to data and craft magic at scale, then you might just be the one we’re looking for!

Interested?

If you are interested in this exiting position we very much look forward receiving your application via the website! Please note that only applications via our career website can be taken into consideration

Grow with us! The next steps are:

Frederik van Zeggeren (Executive Recruiter) will contact you within 5-max 10 working days
2 on site Interviews with Data & Engineering leadership + case study
Final interview with Director of Data, Analytics &AI!

Any questions about the procedure? Let Frederik know via frederik.vanzeggeren@rituals.com.

No acquisition please.

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Job Description Summary

This position will be located at the Cambridge, MA or East Hanover, NJ location and will not have the ability to be located remotely.

This is 1 of 2 positions.

Job Description

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into the Executive Director, Emerging Data Products, this role is crucial in driving the transformation of patient care by leveraging advanced data analytics and innovative methodologies to uncover opportunities for growth and optimize treatment strategies.

The Director will lead cross-functional teams to deliver innovative data solutions, leveraging advanced analytics and cutting-edge technologies to generate actionable insights. By fostering a culture of collaboration and innovation, this role will enhance Novartis' ability to make data-driven decisions and maintain a competitive edge in the pharmaceutical industry.

Key Responsibilities:

Develop and articulate a clear vision for data product innovation that aligns with Novartis' strategic objectives.

Oversee and implement novel concepts that enhance business outcomes through emerging technologies, advanced data collection, data engineering, and AI-driven insights.

Drive the adoption of cutting-edge technologies to transform patient care and uncover new growth opportunities.

Execute a comprehensive product roadmap for emerging solutions, ensuring alignment with business needs, market trends, and evolving technological capabilities.

Actively manage the product backlog, prioritizing initiatives that provide the highest strategic value and scalability.

Ensure continuous improvement and adaptability in response to changing market conditions and business needs.

Ensure smooth onboarding, training, and communication for stakeholders using new technologies and solutions.

Essential Requirements:

Novartis is seeking an experienced and dynamic leader to drive patient finding initiatives, leveraging data analytics and insights to identify underdiagnosed or untreated patient populations. The ideal candidate will possess a deep understanding of the pharmaceutical landscape, with expertise in applying advanced methodologies from varied data sources to uncover patient growth opportunities and optimize treatment strategies. This role requires a leader who excels in fostering collaboration across cross-functional teams, developing talent, and cultivating a culture of innovation. The ED will establish a robust framework for delivering actionable insights through secondary data analytics, empowering strategic initiatives and enhancing patient care.

Education: Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred

Minimum of 10+ years of experience in the pharmaceutical or healthcare industry, with a strong focus on data analytics, patient identification and strategic insights.

Proven track record of leading data-driven decision-making at a senior leadership level.

Expertise in claims/EHR analytics, AI/ML, and strategic analytics.

Minimum of 5+ years of people management experience, with a focus on developing talent and fostering a culture of innovation.

Strong analytical and strategic thinking skills, with the ability to translate complex data into actionable insights.

Excellent communication and collaboration skills, capable of influencing and engaging with leadership across functions.

Experience in leading cross-functional and matrixed teams, with demonstrated ability to maintain flexible collaboration with diverse teams including internal IPST/TA teams and external partners to meet strategic objectives

Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities

Novartis Compensation and Benefit Summary:

The pay range for this position at commencement of employment is expected to be between: $168,000.00 and $312,000.00/year; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$168,000.00 - $312,000.00

Skills Desired

Agility, Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Strategy, Digital Marketing, Go-To-Market Strategy, Influencing Skills, Inspirational Leadership, Marketing Strategy, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Strategic Marketing","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"East Hanover, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Product Analyst, Data Products","datePosted":"2025-08-08","description":"

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Product Strategy & Roadmap: Understand trends, competitive landscape, market and client needs to shape product roadmap and align strategic goals.
Articulate and socialize product roadmap, product positioning, market differentiation, value proposition and benefits in ways that resonate with key audiences, use-cases and markets
Establish product requirements: define comprehensive and precise products requirements for key features which meet client and markets needs and work in conjunction with other Visa products and solutions
Conduct grooming sessions: Drive collaboration and in-depth understand on product requirements with cross-functional product, data science and technology teams
Define acceptance criteria for requirements, Participating and providing business input to the AI design and technology discussions.
Define and monitor key product success metrics and operational targets
Define non-technical elements critical to product success, such as model risk management, onboarding experience, commercial enablement assets, pricing, branding, and GTM plans
Play an instrumental role in the Payment Fraud Risk Model Products team by providing thought leadership in overall strategy design, commercialization, and execution of Risk Model products.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

**Pls NOTE that Sponsorship is not available for this position (no H1B, OPT, F-1) or other. Pls note that Relocation is not available for this position - the location will be in Foster City

Qualifications

Basic Qualifications:

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
2+ years of product management experience with Advanced Analytics products in payment technology or risk and fraud management
Experience and knowledge of Agile (Scrum) project methodology and practices. Proven record of accomplishment in fast-paced, agile environments with demanding timelines.
Extensive experience in designing and taking products to market that use complex modelling techniques (inc. AI/ML).
Experience in management and requirement provision for data science teams and technology teams focused on AI/ML.
Excellent interpersonal skills with demonstrated ability to interface across levels, regions, cultures, and languages, and engage successfully with both specialist teams and broader business partners.
Ability to lead executive messaging.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 117,600.00 to 166,150.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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Applecart is the leading technology company creating a new category of “Decision Maker Marketing”. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The c-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them.

We are hiring a Staff Data Engineer in our New York City office.

About the Role:

As a Staff Engineer on the Data Products team, you will expand Applecart’s data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you’ll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team’s technical evolution. You’ll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a technical leader, you’ll collaborate closely with Product and Technology leadership to shape the future direction of Applecart’s technology.

Who You Are:

You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members.

Experiences and Capabilities You Bring:

You have 10+ years of professional software development experience
You have strong computer science fundamentals
You have designed and implemented scalable data processing pipelines
You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…
You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks
You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc)
You are a SQL expert
You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark)
You manage AWS resources using infrastructure-as-code
You are an excellent verbal and written communicator. You are an expert at producing visuals for technical communication.

This is a hybrid role. Work from home on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday.

Compensation:

Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation.

The base salary range for this role is between $180,000-$250,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area.

A few facts about us:

Applecart’s platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD.
Applecart is growing quickly — over the last 3 years, we’ve increased our bookings by 8X, grown our headcount by 4X, and we’re cashflow positive.
Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle’s online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party’s most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher.
Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board.
Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

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Job Description

As a Staff Engineer within the Data Product teams, you will play a pivotal role in shaping and scaling Rituals’ data product strategy and delivery practices. Your core mission is to reduce cognitive load for developers, eliminate human error through automation, and improve engineering efficiency by building blueprints, frameworks, and accelerators that enable high-quality, reusable, and governed data products across domains.

This role is at the heart of Rituals’ evolution toward a modular, platform-oriented data ecosystem — ensuring that every data product is built with clarity, consistency, and long-term value in mind.

You will work alongside two other Staff Engineers in Data Products, and closely with peers in Analytics Engineering and Platform Engineering to align standards, promote reuse, and accelerate delivery at scale.

\nKey Responsibilities

Define and maintain architectural blueprints for reusable, governed, and contract-based data products.
Develop accelerators and frameworks (e.g. code scaffolds, testing templates, CI/CD components) that abstract complexity and drive consistency across product teams.
Partner with engineering leads to embed platform thinking into data product delivery, reducing duplication and cognitive overload for developers.
Drive quality through standardization of interfaces, schema patterns, lineage, and contract-first development.
Collaborate with product owners and domain leads to ensure product designs balance flexibility with standardization and scale.
Promote automation across the delivery lifecycle — including testing, monitoring, documentation, and deployment.
Mentor engineers within data product teams, fostering a culture of craftsmanship, autonomy, and accountability.
Work closely with Staff Engineers in analytics and platform to ensure end-to-end cohesion of the data ecosystem.

Qualifications

6–8+ years in data, platform, or software engineering roles, with at least 2–3 years in a senior technical or architectural capacity.
Proven experience designing and delivering data products or services with strong focus on reuse, quality, and long-term ownership.
Deep knowledge of modern data stacks (e.g. dbt, Airflow, BigQuery, Spark) and familiarity with APIs, CI/CD pipelines, and infrastructure-as-code.
Experience creating developer enablement tooling, frameworks, or reusable libraries in production environments.
Strong understanding of data modeling, contracts, governance, and product-oriented delivery in a data context.
Excellent communication and collaboration skills, especially in cross-functional and cross-domain environments.
Comfort operating in a scale-up environment with evolving platforms and business needs.

\nKey Stakeholders

Data Product Engineers and Domain Teams
Product Owners and Delivery Leads
Fellow Staff Engineers in Analytics & Platform
Data Governance and Architecture

\nStrategic Value

As Staff Engineer for Data Products, you are a force multiplier — enabling Rituals to scale data product delivery without sacrificing quality or increasing complexity. You drive technical cohesion, reduce developer friction, and ensure that our data products are built for adaptability, sustainability, and value realization.

Interested?

If you are interested in this exciting position we very much look forward to receiving your application via the website! Please note that only applications via our career website can be taken into consideration

Grow with us! The next steps are:

Jan Bernhart (Recruitment) will contact you within 10 working days
Three interviews follow, including a technical case and an online assessment
In the event of a positive outcome, we are good to go!

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Company Description

Company Description:

Fortune Brands Innovations, Inc. is an industry-leading innovation company focused on creating smarter, safer and more beautiful homes and improving lives. Our driving purpose is that we elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. When you join Fortune Brands, you become part of a high-performing team who are empowered to think big, learn fast and make bold decisions. We support an inclusive and diverse culture where everyone is encouraged and empowered to be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here

Job Description

We are seeking a highly skilled and experienced Product Manager, Data Products, to join our dynamic team to build business-enabling products that are powered by data. As a Product Manager, Data Products, you will be responsible for driving the development, delivery, management, and success of data-driven products across the enterprise. You will work closely with cross-functional teams, including data scientists, engineers, designers, and business stakeholders, to define product strategies, prioritize features, and deliver impactful data solutions. This role requires a deep understanding of data analytics, data management, agile product management principles, AI technology and a passion for driving data-centric innovation.

Responsibilities:

Product Development: Lead cross-functional agile teams to design, develop, and deliver data products, ensuring high quality, scalability, and user satisfaction.
Product Strategy: Collaborate with stakeholders and the Data Strategy team to define and execute a data product strategy aligned with business goals and market needs.
Product Roadmap: Develop and maintain a comprehensive product roadmap, ensuring alignment with overall business objectives and incorporating feedback from various stakeholders.
Requirements Gathering: Work closely with business users, data scientists, and engineers to understand data-related requirements and translate them into actionable product features.
Data Analysis: Conduct data analysis to identify insights, trends, and opportunities that can be leveraged to enhance the product offering.
Data Management: Translate the business requirement into logical data modeling using a deep understanding of data management principles to streamline data quality and process efficiency
Stakeholder Management: Collaborate with internal and external stakeholders to gather feedback, manage expectations, and communicate product updates and enhancements.
Product Performance Tracking: Define and monitor key performance indicators (KPIs) to assess the success of data products and drive continuous improvement efforts.
Market Research: Stay up to date with industry trends, emerging technologies, and competitive landscape to identify potential product enhancements or new opportunities.
Data Governance: Partner with the data governance team to ensure compliance with data privacy regulations and maintain data integrity, security, and confidentiality.
Leadership: Mentor individual contributors, foster a collaborative work environment, and promote a culture of data-driven decision-making.

Qualifications:

Bachelor's degree in a relevant field (Computer Science, Data Science, Engineering, or equivalent). A Master's degree is preferred.
Proven experience (7 years) in product management, preferably in data-focused roles or industries.
Strong understanding of data analytics, data engineering, and data visualization concepts.
Solid experience with agile development methodologies and product management frameworks.
Proficiency in data storage, manipulation, analysis, and visualization tools such as SQL, Snowflake, Python, Tableau or similar.
Excellent communication and interpersonal skills to effectively collaborate with diverse teams and stakeholders.
Strong problem-solving and analytical thinking abilities with a keen attention to detail.
Demonstrated ability to manage multiple priorities and deliver projects within defined timelines.
Experience with data governance, data privacy regulations, and best practices is a plus.
Familiarity with AI technologies and LLM frameworks.

Additional Information

Additional Information:

Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $105,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan.

At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits (including half-day summer Fridays per policy), inclusive fertility / adoption benefits, and more. We offer numerous Employee Resource Groups to support inclusivity and our associates’ feeling of belonging at work.

Fortune Brands is a brand, innovation and channel leader focused on exciting, supercharged categories in the home products, security and commercial building markets. Our portfolio of brands includes Moen, House of Rohl, Aqualisa, SpringWell, Therma-Tru, Larson, Fiberon, Master Lock, SentrySafe and Yale residential.

Fortune Brands is headquartered in Deerfield, Illinois and trades on the NYSE as FBIN

Equal Employment Opportunity:

FBIN is an equal employment opportunity employer and does not discriminate against any applicant based on race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic.

Reasonable Accommodations:

FBIN is committed to working with and providing reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information. Resumes submitted to this email address will not be responded to.

To protect yourself from fraudulent job postings or recruitment scams, please note that FBIN job postings are exclusively hosted on our careers page at www.fbin.com/careers>.

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Introduction to Demandbase:

Demandbase is the leading account-based GTM platform for B2B enterprises to identify and target the right customers, at the right time, with the right message. With a unified view of intent data, AI-powered insights, and prescriptive actions, go-to-market teams can seamlessly align and execute with confidence. Thousands of businesses depend on Demandbase to maximize revenue, minimize waste, and consolidate their data and technology stacks - all in one platform.

As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, Seattle, and India, as well as a team in the UK, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area including, “Best Workplaces for Millennials” and “Best Workplaces for Parents”!

We're committed to attracting, developing, retaining, and promoting a diverse workforce. By ensuring that every Demandbase employee is able to bring a diversity of talents to work, we're increasingly capable of living out our mission to transform how B2B goes to market. We encourage people from historically underrepresented backgrounds and all walks of life to apply. Come grow with us at Demandbase!

The base compensation range for this position for candidates in the SF Bay Area is: $140,000 - 210,000. For all other locations, the base compensation range is based on the primary work location of the candidate as our ranges are location specific. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years of experience, and depth of experience.

About the Role:

Demandbase is seeking a Software Engineer to join our Data Products team and work in close partnership with Product to shape the next generation of B2B data delivery. Our customers rely on Demandbase data to power their GTM strategies, and this role will be instrumental in designing and delivering the infrastructure and APIs that make that possible.

This is a rare opportunity to help define and launch new data products from the ground up, while working alongside an experienced product manager and business stakeholders.

What you'll be doing:

Collaborate with Product and other Engineers to build scalable data products and APIs
Own and evolve schemas, data models, and pipelines for datasets like Buying Groups, Account Journeys, and Intent signals
Drive architecture decisions and delivery for new datasets and partner integrations
Bring a customer-centric mindset to engineering — ensure we’re building the right things, the right way
Help us scale our data model configuration and generation infrastructure to meet growing demand
Contribute to team culture, mentorship, and technical best practices

What we're looking for:

5+ years of experience in software engineering with a focus on data systems, backend development, or APIs
Proficiency in one or more backend languages: Python, Scala, Go, Java
Experience in Frontend Technologies (preferably Typescript, React)
Strong experience with data modeling, schema evolution, and ETL/ELT pipelines
Hands-on experience with cloud platforms (AWS, GCP), databases (Postgres, BigQuery), and streaming (Kafka, PubSub)
Experience building customer-facing APIs and/or data products
A strong product mindset — excited to collaborate deeply with PMs and learn from customers
Excellent communication skills and a bias for action

Bonus:

Experience with B2B or GTM data (e.g., technographics, firmographics, intent)
Familiarity with data privacy and security best practices
Experience mentoring junior engineers or leading projects

Benefits:

We offer a comprehensive benefits package designed to support your health, well-being, and financial security. Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones. In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being. We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most. For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind.

Our Commitment to Diversity, Equity, and Inclusion at Demandbase:

At Demandbase, we believe in creating a workplace culture that values and celebrates diversity in all its forms. We recognize that everyone brings unique experiences, perspectives, and identities to the table, and we are committed to building a community where everyone feels valued, respected, and supported. Discrimination of any kind is not tolerated, and we strive to ensure that every individual has an equal opportunity to succeed and grow, regardless of their gender identity, sexual orientation, disability, race, ethnicity, background, marital status, genetic information, education level, veteran status, national origin, or any other protected status. We do not automatically disqualify applicants with criminal records and will consider each applicant on a case-by-case basis.

We recognize that not all candidates will have every skill or qualification listed in this job description. If you feel you have the level of experience to be successful in the role, we encourage you to apply!

We acknowledge that true diversity and inclusion requires ongoing effort, and we are committed to doing the work required to make our workplace a safe and equitable space for all. Join us in building a community where we can learn from each other, celebrate our differences, and work together.

Personal information that you submit will be used by Demandbase for recruiting and other business purposes. Our Privacy Policy explains how we collect and use personal information.

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Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Job Description

Within the Ubisoft Data Office (UDO), you will take part in the Production Intelligence initiative, which aims to support video game production teams in their decisions and strategies through tracking and analysis tools. Our products enable them to build collective intelligence by combining data from multiple sources and collaborating across teams.

Your role will be to act as the bridge between business teams and technical teams: identifying and analyzing needs independently, then transforming them into effective and sustainable solutions.

Responsibilities

Define the product vision and roadmap according to needs and priorities.
Gather and analyze team and user requirements in order to propose new indicators and features.
Evaluate and prioritize requests based on relevance, efficiency, costs, and deadlines.
Translate business needs into technical and functional specifications, and validate them with developers and architects.
Populate and manage the product backlog (user stories, detailed tasks), ensuring proper prioritization.
Define and track performance measures and KPIs aligned with business objectives.
Extract and transform data from multiple sources to produce relevant analyses and make them available through dashboards (Power BI).
Design and execute test scenarios to guarantee the reliability of data flows and new features.
Plan and facilitate agile rituals, deliver regular presentations, and ensure clear communication (documentation, follow-up, knowledge sharing).
Manage, support, and develop a team of 5 collaborators

Qualifications

Proficiency with data visualization and analysis tools (Power BI or Tableau), as well as data management and quality practices.
Proven experience in team management, with demonstrated skills in leadership, mentoring, and staff development.
Ability to influence and advise stakeholders at different hierarchical levels, building long-term trusted relationships.
Solid experience working transversally and collaborating with multidisciplinary teams.
Strong background in agile methods (Scrum, Kanban) to structure projects, lead rituals, and ensure continuous delivery of value.
Strong analytical and strategic skills, enabling the transformation of complex needs into concrete, efficient, and sustainable solutions.

Additional Information

We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work.

Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.

Skills and competencies show up in different forms and can be based on different experiences, that is why we strongly encourage you to apply even though you may not have all the requirements listed above.

At Ubisoft, we embrace diversity in all its forms. We’re committed to fostering an inclusive and respectful work environment for all. We know the importance of providing a pleasant interview experience, therefore if you need any accommodation, please let us know if there is anything we can do to facilitate the interview process.

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At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

1. 6–10 years of experience as a Product Owner, with demonstrated expertise in managing complex data elements across multiple products.

2. Capable of defining and communicating a clear vision for data products, ensuring alignment with the organization's priorities and goals.

3. Collaborate with multiple cross-functional teams - including engineering, product and business SMEs - to gather and understand their data needs and translate them into actionable requirements.

4. Design and implement a robust, scalable, and transparent intake process for collecting, evaluating, prioritizing, and tracking data-related requests from across the organization.

5. Own the product backlog, ensuring stories and tasks are clear, complete, and prioritized according to business value and technical feasibility.

6. Partner with technical teams to deeply understand source systems, data models, data pipelines, data quality, and data governance issues. Facilitate discussions around data architecture, accessibility, and integration.

7. Define clear, comprehensive user stories and acceptance criteria based on business and technical requirements, especially for complex data use cases and integrations.

8. Ensure effective communication and change management practices are in place as data products evolve and are rolled out to users.

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective.

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Company Description

To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/

Why Join Us?

Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions.
Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.

As the Data Products & Insights Lead, you will be responsible for the strategy, delivery, governance, and lifecycle management of Lendi Group’s core curated and governed data assets. This includes key foundational products such as out Customer and Property Bureaus and gold-layer data products that support analytics, AI/ML, reporting, and operational use cases.

Job Description

Data Product Ownership

Define and lead the roadmap for Lendi’s curated data product portfolio.
Own the design, evolution, and lifecycle of key silver/gold layer assets including customer, broker, property, and performance domains.
Ensure semantic and transformation logic reflects accurate, governed business definitions.

Technical Enablement & Platform Oversight

Oversee the build and optimisation of dbt Cloud pipelines that transform raw data into reusable, production-grade datasets.
Guide the development and management of certified PowerBI semantic models within the Microsoft Fabric platform, including DAX metrics, RLS, and standardised hierarchies.
Lead PowerBI maintenance and run operations, while setting the roadmap for scalable, governed, and AI-augmented reporting products.

AI Native Roadmap & Transformation

Lead the Data Supergroup’s AI Native roadmap, delivering enablers for automation, agentic data use, and intelligent decisioning.
Partner with platform, analytics, data science, and governance leads to identify and deliver AI-ready datasets and use cases.
Embed AI/ML readiness and GPT-enablement into curated data products and reporting suites.

Data Governance & Quality

Drive enterprise-wide data governance, metadata standards, and lifecycle practices.
Ensure trust, quality, discoverability, and reusability across all data products.
Champion shared definitions, metric consistency, and regulatory compliance.

Collaboration & Data Activation

Serve as the primary bridge between technical teams and business stakeholders across Product, Distribution, Growth, and Finance.
Translate business needs into high-impact data product solutions.
Partner with Analytics & Data Science to productionise model inputs and enrich analytical use cases.

Qualifications

7+ years of experience in data product, analytics engineering, or BI leadership roles.
Proven experience with dbt Cloud, SQL, and PowerBI semantic model development.
Experience managing PowerBI within enterprise platforms like Microsoft Fabric.
Strong understanding of Medallion architecture and production-grade data modelling practices.
Proven experience leading data governance frameworks and enterprise data stewardship.
Demonstrated ability to deliver AI/ML-enabling data products and support intelligent automation.
Ability to translate complex business needs into structured data products.
Excellent communication and stakeholder engagement skills.
Experience in financial services, fintech, or large-scale multi-channel environments (including retail and partner ecosystems) highly desirable.

Additional Information

We support our people in a variety of ways, but a few of the benefits that our people rave about include:

A vibrant, relaxed, yet professional culture.
Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.
A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.
Generous paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.
An additional week’s Loyalty Leave each year after reaching 3 years’ service.
Wellness initiatives with a strong focus on psychological safety.

This is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey.

Ready to contribute to Lendi Group’s next chapter? Apply now and be part of something big!

#lendigroup #LI-GR2 #LI-hybrid

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Job Description Summary

As Technical Product Manager for our Data Products, you will join our GridOS Data Fabric product management team who are delivering solutions designed to accelerate decarbonization by managing DERs at scale and proactively manage disruptions from climate change. Specifically, you will be accountable for managing technical product lifecycle activities around our core Data Products in partnership with our own & partner development teams to build trusted data products for our GridOS ADMS applications.

Job Description

Roles and Responsibilities

Technical product management, responsible for delivering Data Products in partnership with both GE Vernova & partner development teams. Includes all activities related to sprint planning, backlog grooming, testing and release management.
Collaborate with data engineers, data scientists, analysts, and business stakeholders to prioritize product epics & features. Ensure data products are reliable, scalable, secure, and align with regulatory and compliance standards.
Advocate for data governance, data quality, and metadata management as part of product development. Evangelize the use of data products across the organization to drive data you can trust to fuel AI/ML predictive workflows.
Accountability for functional, business, and broad company objectives. Integrate and develop processes that meet business needs across the organization, be involved in long-term planning, manage complex issues within functional area of expertise, and contribute to the overall business strategy.
Developing specialized knowledge of latest commercial developments in own area and communication skills to influence others. Contributes towards strategy and policy development and ensure delivery within area of responsibility.
Has in-depth knowledge of best practices and how own area integrates with others; has working knowledge of competition and the factors that differentiate them in the market
Brings the right balance of tactical momentum and strategic focus and alignment and uses engineering team organization processes, like scrums, daily-stand-ups and not shy away from explaining deep technical requirements.
Uses judgment to make decisions or solve moderately complex tasks or problems within projects, product lines, markets, sales processes, campaigns, or customers. Takes new perspective on existing solutions. Uses technical experience and expertise for data analysis to support recommendations. Uses multiple internal and limited external sources outside of own function to arrive at decisions.
Acts as a resource for colleagues with less experience. May lead small projects with moderate risks and resource requirements. Explains difficult or sensitive information; works to build consensus. Developing persuasion skills required to influence others on topics within field.

Required Qualifications

This role requires significant experience in the Product Management & Digital Product Manager. Knowledge level is comparable to a Master's degree from an accredited university or college.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

Desired Characteristics

Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document, plan, market, and execute programs.
Strong understanding of data infrastructure, data modeling, ETL pipelines, APIs, and cloud technologies (e.g., AWS, Azure).
Experience with iterative product development and program management techniques including Agile, Safe, Scrum & DevOps.
Familiarity with data privacy and security practices (e.g., GDPR, CCPA, HIPAA), and understanding of metadata, lineage, and data quality management.
Knowledge and experience with electric utility industry practices.

Note:

To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

Additional Information

Relocation Assistance Provided: Yes

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Scopo e attività

La figura ricercata, in qualità di DATA ENGINEER, dovrà progettare e sviluppare i software applicativi e le relative componenti dati, massimizzandone la qualità e la performance nel rispetto delle specifiche tecniche e funzionali definite, a stretto contatto con il team progettuale e funzionale dell’ambito applicativo di riferimento, supportandoli nella scelta delle migliori opzioni tecnologiche al fine di rendere efficienti e stabili gli ambiti applicativi.

Collaborerà all’interno del team di progetto con i responsabili che gestiscono gli aspetti progettuali e funzionali dell’ambito, supportandoli nella scelta delle migliori opzioni tecnologiche e soluzioni architetturali al fine di rendere efficienti e stabili gli ambiti applicativi in oggetto. Parteciperà alla fase di rilascio nel rispetto delle pianificazioni e qualità dei rilasci.

Lavorerai all’interno dell’area Group Technology del Gruppo Intesa Sanpaolo, nel Domain Data.

Le principali attività:

Conduzione o partecipazione alla gestione di progetti trasformativi basati sui dati
Progettazione e sviluppo di soluzioni software innovative in modalità batch e near-real time, su ambienti tecnologici on premise e cloud
Mantenimento della coerenza tra quanto sviluppato e gli standard aziendali
Mantenimento della coerenza tra quanto sviluppato e la normativa aziendale con particolare riferimento alla Cybersecurity, alla Privacy, al Change Management e al Data Management
Coordinamento degli sviluppi delle varie progettualità
Esecuzione attività di analisi tecnica
Definizione e controllo linee guida di sviluppo
Individuare le linee strategiche di evoluzione, progettare ed evolvere le applicazioni presenti all’interno dell’ecosistema del Domain Data
Collaborazione con il Project Manager per la definizione dello Stato Avanzamento Lavori, identificazione e indirizzamento delle criticità, identificazione e gestione proattiva dei rischi di progetto
Analisi e valutazione dei rischi di progetto per individuare azioni a mitigazione degli stessi
Progettazione e realizzazione dei presidi di data governance e data quality in linea con le linee guida aziendali
Partecipazione alle fasi di progettazione, preparazione ed esecuzione dei test tecnici e funzionali
Partecipazione alle fasi di User Acceptance Test
Gestione della relazione con altri membri del team interno ed esterno di sviluppo

Esperienza Richiesta

Sono richiesti almeno 2-3 anni di esperienza in progetti IT in ambito dati, a media o alta complessità, preferibilmente nel contesto bancario, finanziario o settore creditizio.
Esperienza nella gestione delle dinamiche di gruppo tipiche di progetti di grandi dimensioni con diversi stakeholder e team di lavoro geograficamente distribuiti.

Esperienza,Competenze,Skill e Qualifiche richieste

Requisiti richiesti:

Laurea Triennale o Magistrale in discipline STEM
Livello ‘fluent’ di conoscenza della lingua inglese scritta e parlata
Conoscenza delle architetture delle basi dati
Conoscenza dei modelli di integrazione nell’ambito del sistema informativo
Conoscenza della progettazione di Datawarehouse
Conoscenza delle tecnologie di data transformation
Conoscenza delle tecnologie di data communication
Conoscenza dei principali db SQL
Conoscenza dei principali db NOSQL
Conoscenza di architetture a microservizi
Conoscenza dei sistemi di versionamento del software
Conoscenza del processo e degli strumenti di Continuous Integration, Continuous Delivey e Continuous Deployment del DevOps
Conoscenza DataOps
Conoscenza dei sistemi di workflow
Conoscenza Apache Hadoop
Conoscenza Teradata
Conoscenza Oracle
Conoscenza Google BigQuery
Conoscenza PostgreSQL
Conoscenza dei processi IT
Conoscenza dei processi di produzione del software
Conoscenza della metodologia di sviluppo Agile Scrum
Conoscenza delle metodologie di Data Quality
Conoscenza delle metodologie di Data Governance
Conoscenza degli ambienti cloud: Google Cloud, Microsoft Azure
Conoscenza dei principali sistemi operativi

Requisiti preferenziali (plus):

Conoscenza dei sistemi di sintesi in ambito bancario, finanziario o settore creditizio
Competenza in progetti IT con l’utilizzo dello strumento ALM Quality Center
Competenza in progetti IT in ambienti Google Cloud Platform
Competenza in progetti IT con l’utilizzo dello strumento di versionamento GIT e IBM Rational Team Concert
Competenza Java in ambito enterprise
Competenza in progetti IT con utilizzo dei framework: SAS, Python, R
Conoscenza Apache Spark
Conoscenza PySpark
Conoscenza algoritmi di AI
Conoscenza algoritmi di AIGen

Chi siamo

Siamo leader in Italia e uno dei principali gruppi bancari in Europa. Unisciti a noi e fai parte della nostra storia di successo! Con oltre 20 milioni di clienti in Italia e all'estero siamo un vero e proprio motore di crescita sostenibile con un forte impegno per l'ambiente e un impatto tangibile sulla società.

Le persone sono al centro, ce ne prendiamo cura impegnandoci nel creare una cultura inclusiva all'interno del Gruppo in cui tutti si sentano protagonisti e valorizzati.

Unisciti alla nostra realtà internazionale. Il futuro non si aspetta, si sceglie!

#sharingfuture

Garantiamo un ambiente inclusivo e di pari opportunità. Considereremo tutti i candidati a prescindere da razza, religione, orientamento sessuale, identità di genere, stato civile, età, disabilità o qualsiasi altra categoria protetta nel rispetto dei D.lgs. 198/2006, 215/03 e 216/03.

Per la valutazione delle candidature, i dati saranno utilizzati da Intesa Sanpaolo S.p.A. come Data Controller. Ti invitiamo a prendere visione dell’Informativa Privacy dedicata.

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Make your mark at the world’s largest HVAC company

Daikin Applied is seeking a talented Sr Business Analyst – Data Products. The Sr Business Analyst – Data Products will work directly with business stakeholders and technical teams, including engineering, operations and data/analyst groups. This role is responsible for driving the end-to-end lifecycle of data product development – from requirements gathering and user story documentation to process mapping, data flow design, testing, training & Implementation.

This role requires a blended skill set that combines the strengths of both business analysts (BAs) and Data Analysts (DAs). You will translate business needs into data driven solutions, bridge between stakeholders and data team, ensuring that data product deliver real business value. Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!

Location: Plymouth, MN - Hybrid

What you will do:

Requirements Gathering & Analysis

Work with stakeholders to understand data needs and translate them into user stories or product requirements
Translate business requirements into detailed user stories, acceptance criteria and data product specifications
Collaborate with data engineering & architects to design scalable data solutions and data flows
Responsible for leading, as well as, participating in cross-functional business projects

Process Mapping & Data Flow modeling

Understand and document workflows where data is produced and consumed
Create process maps, data flow diagrams & systems interaction models to visualize current & future states
Identify gaps, inefficiencies and opportunities for automation or enhancements

Project Execution, Delivery & Support

Support Agile processes – sprint planning, backlog grooming, etc.
Track progress of data product development and ensure alignment with business timelines and priorities
Develop high level test plans and partner with QA team to ensure data product functionality & data accuracy is optimal
Support change management efforts to ensure smooth adoption of new data products
Monitor performance & usage of data products post-implementation
Identify opportunities for enhancements & support ongoing maintenance & optimization

Stakeholder Communication & Reporting

Serve as a liaison between business units and technical teams, ensuring clear and consistent communication
Provide regular updates, dashboards & reports on project status, risks & outcomes (as required)
Provide subject matter expertise for business customers and technical resources
Establishes awareness of business process and technology solution best practices with Finance and Operations

Problem Solving & Critical Thinking

Evaluate competing needs, define metrics & clarify ambiguous request
Able to provide high level analysis using data for ROI KPIs and impact analysis
May mentor and provide guidance to junior members of the team
May perform other duties of product development as assigned

Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, Data Science or a related field or equivalent experience
4+ years of demonstrated experience in Data analysis, IT Business analysis, or a similar field
Strong data requirements gathering and documenting skill – User Stories, etc.
Familiarity with the end to end lifecycle of data products – from ideation and design to deployment and Iteration
Ability to deal with ambiguity in a productive and positive manner by bringing the appropriate stakeholders together to gain clarity and consensus for next steps
Experience working with cross-functional global teams, including product managers, engineers and business stakeholders
Strong commitments to data accuracy, quality and continuous improvements to data product solutions
Proficient in data analysis and exploration using SQL, Excel, Power Bi or similar tools.
Understanding of Data Lake, Unity Catalog & Databricks workflows
Understanding of data ingestion, transformation and orchestration
Experience with Azure ADO or equivalent tools
Experience with MS products (word, ppt, excel, etc..)
Work visa sponsorship is not available for this position

Preferred Qualifications:

Master’s degree in Computer Science, Engineering, Data Science or a related field or equivalent experience
6+ years of demonstrated experience in Data analysis, IT Business analysis, or a similar field
Experience with ERP systems like Oracle EBS & SAP
Experience with CRM systems Salesforce
Awareness of data governance and security models in Databricks.
Familiarity with Lakehouse Architecture
Familiarity of Product lifecycle
Certification in Business Analysis, Agile practices a plus
Proficient in advance analytics skills for data Manipulation using Python, R

Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:

Multiple medical insurance plan options + dental and vision insurance
401K retirement plan with employer contributions matching 100% of the first 3% of employee contributions and 50% on the next 2% of employee contributions
Company provided life insurance + optional employee paid voluntary life insurance, dependent life coverage and voluntary accident coverage
Short term and long-term disability
3 weeks of paid time off for new employees + 11 company paid holidays
Vacation accrues on a monthly basis, unless applicable federal, state and local law requires a faster accrual
Paid sick time in accordance of the federal, state and local law
Paid parental leave and tuition reimbursement after 6 months of continuous service

The typical annual base salary for this position ranges from $90,000 - $148,800 (+ 10-15% bonus) in Minnesota. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.

#LI-RS1, #LI-hybrid

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WHO WE ARE

NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.

NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. Through our value-driven, consumer-centric approach, we are committed to transforming healthcare and creating a better care experience for all.

Lead Product Manager - Data & AI\nNeueHealth is seeking a Lead Product Manager to take a leading role in transforming healthcare through innovative data products. This role will own a building multiple product on top of NeueHealth’s Data Platform, working at the intersection of technology, data, and business strategy. You will collaborate with engineering, business stakeholders, and leadership to distill needs, define actionable requirements, and deliver impactful solutions that drive value-based care forward.\n \nThis is a lead-level role designed for someone who is not only highly technical but also deeply understands the business side of data. The ideal candidate will combine mastery of business tools like Excel with advanced technical skills in SQL and Python/Scala, scaling from detailed business insights to hands-on technical execution.\n \nROLE RESPONSIBILITIES\n

Define and drive product vision and strategy aligned with NeueHealth’s mission and business goals.
\nOwn data products throughout their full lifecycle, including development, rollout, and ongoing support, ensuring they deliver impactful and scalable outcomes.\n
Develop and manage roadmaps, prioritizing features and functionality to maximize impact.
Write clear and detailed Product Requirement Documents (PRDs) that bridge business needs with technical execution.
\nPartner with engineering teams to build scalable, high-impact solutions that align with both technical requirements and business objectives\n
\nIndependently discover insights and use data to formulate logical, actionable conclusions.\n
\nAdvance a data-driven culture by leveraging metrics to measure product success and driving continuous improvement through iteration and actionable insights.\n
Approach ambiguous, complex problems with creativity, persistence, and a solution-oriented mindset.

\nEDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCE\n

Bachelor’s degree in a business, technical, or related field, or equivalent practical experience.
8+ years of experience in building and managing data products, platforms, or technology solutions.
\nProven success owning and delivering products from conception to launch, with a track record of thriving in fast-paced, dynamic, and high-growth environments.\n
Deep expertise in Excel for business analytics, with strong technical skills in SQL and Python/Scala for advanced problem-solving.
Experience collaborating across multiple cross-functional teams, ideally using Agile frameworks.
Demonstrated ability to balance technical depth with a strong understanding of business needs and strategy.
\nStrong organizational and communication skills, with the ability to simplify complex topics for diverse audiences.\n
\nSelf-motivated and proactive, with a proven ability to deliver high-quality results.\n

\nWHY JOIN NEUEHEALTH?\n

Join a mission-driven organization shaping the future of value-based care.
Take a senior leadership role in designing and delivering impactful data platforms and AI solutions.
Collaborate with a talented, dynamic team in a startup-oriented culture.
Work on cutting-edge solutions with a significant opportunity to shape both products and processes.
Enjoy opportunities for career growth and development in a fast-scaling company.

As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of NeueHealth, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.","hiringOrganization":{"@type":"Organization","name":"NeueHealth","sameAs":"https://www.neuehealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Data Products & Modeling Technical Advisor","datePosted":"2025-08-26","description":"At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!\n

You are:

A highly skilled and motivated Data Products & Modeling Technical Advisor who thrives in a hybrid environment. The ideal candidate must possess a strong background in data products, data modeling, and technical advisory.

The work:

Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.

Qualifications:

Proven experience in data modeling, data products development, and technical advisory roles.
Excellent communication and interpersonal skills, with the ability to work collaboratively with clients and team members.
Strong understanding of federal data management regulations and standards.

Bonus Points:

Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field. Advanced degree preferred.
Experience working in federal government projects.
Knowledge of big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud).
Certification in data management or data science.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia is:$165,300—$197,300 USD\n\n \nWhat We Believe \nAs a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.\n\n \nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.\n \nAccenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.\n \nRequesting An Accommodation \nAccenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\n \nIf you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.\n \nOther Employment Statements \nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\n \nCandidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.\n \nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.\n \nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\n \nCalifornia requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.\n\n

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Company Description

Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all, we are an uncompromising energy company that makes coming clean a no brainer. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. Operating at the intersection of B2B and D2C, we offer software, financial products, and services that drive real environmental impact—without compromising value. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all.

Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world.

Location

This role will be based remotely in the US.

Summary of Role

This is a technical PM role on the Platform Product team. You’ll support our Data Products teams, which deliver device data, energy modeling, and insights to consumers, financial stakeholders, multiple product teams, operations, and customer support. We’re looking for a PM that has the technical depth and vision to reinforce the platform’s foundation and define how it will evolve. Scaling and refining device data is critical to Palmetto, so this is a great opportunity to have a high impact on the core business. You’ll join a tenured engineering team with deep energy data expertise and partner with stakeholders who are passionate about clean energy.

Strategic & Tactical Responsibilities

Deliver fresh, accurate, and useful data for hundreds of thousands of devices that power homes with clean energy.
Define what great looks like for your teams and raise the quality bar for our energy modeling, data visualization, and device monitoring products.
Develop a deep understanding of what our customers, businesses, and tech teams need and be their advocate.
Proactively communicate. This team’s services are essential to Palmetto. Make sure your stakeholders are heard and have clear expectations of what you’re delivering.
Efficiently manage your team with a bias for action. You’ll implement/run processes that help your team deliver quality at speed.
Lead prioritization and planning efforts. You’ll craft OKRs, a roadmap, and determine what your teams do (and don’t do).

Qualifications

4+ years of product management experience, ideally on platform, data, or ML teams. Experience in engineering, data, or technical program management is welcome.
Best idea wins mentality - you foster debate and drive your team to focus on the most impactful outcomes.
Data fluency - quantitative rigor and logic are foundational to how you work. You regularly use SQL et al. to inform your decisions and measure success. You have built algorithm-based products.
Strong writing and communication skills - you write clear, persuasive PRDs and can influence senior stakeholders
Scalability & Performance Optimization - experience in identifying, measuring, and addressing performance bottlenecks in data systems and designing scalable platforms.
Growth mindset with a bias toward action, experimentation, and continuous improvement.

Employment is contingent upon the successful completion of a background check.

Equal Employment Opportunity

Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law.

For more about our Privacy Policy, visit: https://palmetto.com/privacy-policy

","hiringOrganization":{"@type":"Organization","name":"Palmetto","sameAs":"https://palmetto.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Director of Technical Data Products","datePosted":"2025-08-26","description":"

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

About the Team

Data Products is one of the critical pillars within the newly established Chief Data Office (CDO), part of T. Rowe Price’s Chief Operating Office (COO). The pillar is responsible for establishing enterprise data products which are software applications or services that leverage data to provide valuable insights, information, or functionality to users or other systems and are crucial for our firm to enable data-driven decision making.

Role Summary

Director of Data Products reports to the Head of Data Governance, Operations and Products. In this role you will help define T Rowe Price’s approach to building and improving data products through an Agile mindset. This includes collaborating on a cohesive roadmap for data-related initiatives, encompassing data governance, data quality, data integration and data analytics. You will work closely with various functions and business units to align data needs with business outcomes, ensuring data is utilized effectively to drive informed decision-making and support business growth, efficiency and risk initiatives and operations.

Impact:

The role is pivotal in driving the development and success of data driven solutions within the CDO, COO and Corporate strategic priorities. You will have the opportunity to set the strategic vision for data products, aligning them with business objectives, and prioritizing features and improvements. Through collaborations with cross-functional teams, data product directors ensure that data products deliver actionable data, insights and value enabling informed decision-making and driving our business objectives.

Responsibilities

Define and communicate a clear product vision and strategy aligned with business objectives and overarching Enterprise Data Strategy.
Create and maintain a product roadmap that prioritizes features, enhancements, and data sources based on business value and user needs.
Collaborate with stakeholders from various business and technology areas to understand their data requirements and ensure the data product's relevance and effectiveness.
Oversee data collection, ingestion, and transformation processes to ensure high-quality, reliable, and accessible data.
Ensure that data modelling, business data glossary, and metadata management processes are consistent with enterprise principles, and support all consumption patterns.
Provide senior management with a clear lens on the progress and performance of critical initiatives.
Monitor objective and key results (OKRs) and key performance indicators (KPIs) to assess the impact of the data product and making data-driven decisions for improvements.
Work collaboratively across the CDO to establish and enforce good product management principles are followed consistency across the CDO’s book of work.
Implement data governance policies, access controls, and compliance measures to maintain data security, privacy, and quality within data products.
Facilitate user training and support to ensure that stakeholders can effectively utilize the data product for decision-making and analysis.

Qualifications

Required:

Bachelor’s degree in Computer Science, Engineering, Information Systems or a related disciple (or the equivalent combination of education and relevant experience)
10+ years of relevant work experience ideally in a technical engineering/program / product / project leadership role with demonstrated experience of managing a portfolio of projects.
A deep understanding of data engineering, data governance principles, frameworks and methodologies, and experience applying them in the real world all stages of the data lifecycle.
Execution excellence and a track record of delivering long term business value.
Strong risk management awareness and understanding
A sound understanding of financial markets.
Ability to think and plan strategically, working in ambiguous environments.
Strong analytical skills and the ability to aggregate and simplify complex, disparate information.
Knowledge of cloud-based data environments.
Experience navigating complex, global organizations.
Strong written and oral communications skills
Entrepreneurial and innovation mindset
Highest level of integrity and the ability to foster trust and loyalty.

Preferred:

In-depth understanding of asset management industry
Experience leading and working in Agile environments, ideally at scale but with the ability to flex as needed e.g., waterfall.
Lean Six Sigma or related skills and experience.
Some, but not necessarily all the following:
- Data Governance, Data Management, and Analytics
- Data warehousing and data operations.
- Data product management
- Product Management
- Data valuation and working with data as an asset.
- Metadata, reference data and master data management.
- Change management, using established frameworks.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$197,000.00 - $336,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$217,000.00 - $350,000.00 for the location of: Washington, D.C.
$246,000.00 - $350,000.00 for the location of: New York, California

Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.

Benefits

We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.

Featured employee benefits to enrich your life:

Competitive compensation

Annual bonus eligibility

A generous retirement plan

Hybrid work schedule

Health and wellness benefits, including online therapy

Paid time off for vacation, illness, medical appointments, and volunteering days

Family care resources, including fertility and adoption benefits

Learn more about our benefits.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

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About the Team

Role Summary

Impact:

Responsibilities

Define and communicate a clear product vision and strategy aligned with business objectives and overarching Enterprise Data Strategy.
Create and maintain a product roadmap that prioritizes features, enhancements, and data sources based on business value and user needs.
Collaborate with stakeholders from various business and technology areas to understand their data requirements and ensure the data product's relevance and effectiveness.
Oversee data collection, ingestion, and transformation processes to ensure high-quality, reliable, and accessible data.
Ensure that data modelling, business data glossary, and metadata management processes are consistent with enterprise principles, and support all consumption patterns.
Provide senior management with a clear lens on the progress and performance of critical initiatives.
Monitor objective and key results (OKRs) and key performance indicators (KPIs) to assess the impact of the data product and making data-driven decisions for improvements.
Work collaboratively across the CDO to establish and enforce good product management principles are followed consistency across the CDO’s book of work.
Implement data governance policies, access controls, and compliance measures to maintain data security, privacy, and quality within data products.
Facilitate user training and support to ensure that stakeholders can effectively utilize the data product for decision-making and analysis.

Qualifications

Required:

Bachelor’s degree in Computer Science, Engineering, Information Systems or a related disciple (or the equivalent combination of education and relevant experience)
10+ years of relevant work experience ideally in a technical engineering/program / product / project leadership role with demonstrated experience of managing a portfolio of projects.
A deep understanding of data engineering, data governance principles, frameworks and methodologies, and experience applying them in the real world all stages of the data lifecycle.
Execution excellence and a track record of delivering long term business value.
Strong risk management awareness and understanding
A sound understanding of financial markets.
Ability to think and plan strategically, working in ambiguous environments.
Strong analytical skills and the ability to aggregate and simplify complex, disparate information.
Knowledge of cloud-based data environments.
Experience navigating complex, global organizations.
Strong written and oral communications skills
Entrepreneurial and innovation mindset
Highest level of integrity and the ability to foster trust and loyalty.

Preferred:

In-depth understanding of asset management industry
Experience leading and working in Agile environments, ideally at scale but with the ability to flex as needed e.g., waterfall.
Lean Six Sigma or related skills and experience.
Some, but not necessarily all the following:
- Data Governance, Data Management, and Analytics
- Data warehousing and data operations.
- Data product management
- Product Management
- Data valuation and working with data as an asset.
- Metadata, reference data and master data management.
- Change management, using established frameworks.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

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A Creditas é uma plataforma de serviços financeiros que a partir da casa, carro e salário oferece empréstimos, seguros e investimentos. Com 12 anos de atuação, é a maior plataforma de crédito online da América Latina e recebeu aportes de fundos internacionais, levantando mais de R$4 bilhões (US$879 milhões) em equity e com um portfólio atual de R$5,6 bilhões. Por meio da sua tecnologia proprietária oferece produtos como o empréstimo com garantia de automóvel ou imóvel, o consignado privado, benefícios corporativos e seguros. A Creditas já ultrapassou a marca de 13 milhões de solicitações de crédito, um valuation de US$3,5 bilhões e mais de 40 emissões no mercado de capitais (FIDCs, CRIs e FIIs).

Nosso time de Product Technology

É com ela que escalamos o negócio, otimizamos processos, reduzimos custos e entregamos a melhor experiência para viabilizar novas conquistas de nossos clientes.

Com tecnologia desenvolvida dentro de casa, trabalhamos com várias linguagens de programação do mercado. Ideal para quem, assim como a gente, ama se desafiar e se desenvolver na resolução de problemas reais.

Se tecnologia também é seu combustível e fazer a diferença é a sua paixão, embarque com a gente na Nave!

Quais são as responsabilidades desta vaga:

Desenvolver novos produtos de dados usando ferramentas da nossa stack, de acordo com as necessidades de negócio
Manter e dar suporte aos produtos existentes.
Refinar, entender e traduzir os problemas de negócio em soluções de dados.
Modelar produtos de dados de acordo com as melhores práticas de desenvolvimento
Apoiar em processos de melhoria contínua, com a identificação de oportunidades e sugestão de soluções

Precisamos de alguém com:

Alguém curioso e interessado em entender diferentes cenários e unidades de negócios, e como podemos impacta-los usando dados.
Alguém que tem vontade em se desenvolver em diferentes tecnologias de dados, processos e contextos internos e que entende que erros fazem parte do aprendizado.
Alguém que saiba sinalizar suas atividades e problemas enfrentados para seu líder ou colegas mais experientes, que saiba pedir ajuda e reconhecer quando não sabe algo
Alguém que busque compreender a necessidade e individualidade de seus clientes e traga soluções, não poupando esforços para ajudar, ser útil e atencioso com o cliente, desde o primeiro contato.
Alguém que entre pra jogar com o time e criar boas relações de troca de conhecimento e apoio, compartilhando novos aprendizados e ideias
Alguém que expresse bem sua comunicação verbal e escrita de forma clara e objetiva.

Seria ótimo se você também tivesse:

Data Visualization (Tableau, powerBi, DataStudio etc) básico (diferencial)
GitHub básico
SQL básico/intermediário
Airflow básico
Python básico
Modelagem de dados básico/intermediário
Spark básico (diferencial)
Ingestão de dados (diferencial)
AWS básico (S3, Redshift) (EMR, RDS e Athena diferenciais)
Banco de dados distribuídos intermediário

Nosso processo:

O processo seletivo começa na candidatura, e você passará por uma conversa com o time de Talent Acquisition, uma avaliação técnica com nosso time de desenvolvedores e, por último, uma conversa com a pessoa que será sua liderança. O tempo do processo é flexível, mas não se preocupe! Nosso time de Talent Acquisition está preparado para proporcionar a melhor experiência para você. Analisamos todos os perfis com atenção e sempre enviamos feedbacks, independentemente da etapa da candidatura. Além disso, todas as instruções são enviadas por e-mail.

Conheça nossos benefícios:

Seguro de Vida Coletivo;
Plano de Saúde (Alice);
Plano Odontológico (SulAmérica);
PPR - Programa de Participação nos Resultados;
Universidade Corporativa (Academy);
Wellz: Sessões gratuitas por mês com especialistas de psicologia 100% online;
Wellhub: Acesso a academias e estúdios com modalidades esportivas;
Dayoff de aniversário;
Auxílio Creche & Auxílio para Filhos(as) com Deficiência;
Family Care: acolhimento da família durante a nova jornada da maternidade e paternidade;
Licença Parental: 6 meses de licença para a pessoa gestante e 35 dias de licença parental;
Modelo de trabalho: presencial, remoto ou híbrido, de acordo com as possibilidades de sua função;
Vale-Transporte, bicicletário gratuito ou estacionamento conveniado;
Vale Refeição: Cartão de benefícios flexíveis (Creditas Card);
Convênio farmácia;
Antecipação salarial.

Diversidade no DNA

Trabalhamos para construir um ambiente diverso e com equidade de oportunidades. Valorizamos e respeitamos todas as diferenças, elas nos tornam mais fortes.

Promover a diversidade impacta positivamente a jornada de cada cliente. Desenvolvemos nossa flexibilidade cognitiva para resolver problemas, gerar valor e criar soluções mais inovadoras.

Para valorizar as diferenças na prática, focamos em três pilares:

Diversidade: Valorizamos a pluralidade e respeitamos todas as diferenças com empatia, trabalhando para garantir na Tripulação a representatividade da sociedade onde vivemos.
Equidade: Temos o compromisso de garantir oportunidades e condições justas para o crescimento e desenvolvimento de todas as pessoas.
Inclusão: Promovemos um ambiente seguro e de bem-estar para que todas as pessoas se sintam respeitadas, acolhidas e pertencentes à Nave.

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ESSENTIAL JOB FUNCTIONS

Data Pipeline & Platform Development

Build and maintain pipelines using dbt, Prefect, and Terraform
Develop and manage connectors across sources and targets including Kafka, RDBMs, and Snowflake.
Implement schema evolution, validation rules, and automated testing
Support high-availability and disaster recovery design for Snowflake and Materialize

Data Product Engineering

Author and review schemas and data contracts for consistency and governance
Develop and optimize dbt models for Snowflake and Materialize analytics layers
Configure clusters and role-based access for shared environments
Document datasets to ensure discoverability and proper usage across teams

Stakeholder Collaboration

Partner with BI developers, analysts, and business teams to deliver datasets that support reporting, dashboards, and integrations
Investigate and resolve data issues, ensuring durable fixes
Participate in design reviews to align technical solutions with business requirements

Collaboration & Standards

Contribute to PR and design reviews for pipelines and models
Support platform governance, observability, and best practices for data quality
Work with adjacent teams (Ops & Reliability, Analytics, Product) to align on SLAs and data definitions

Other duties as assigned

OTHER SKILLS AND ABILITIES

Proficiency in Python and SQL for building and optimizing data pipelines
Hands-on experience with dbt for modeling and testing, and Terraform for infrastructure-as-code
Familiarity with modern data platforms: Snowflake, Materialize, Kafka, HVR, Fivetran, or Stitch
Understanding of data contracts, observability, and governance practices
Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
Ability to translate business needs into scalable technical solutions
Knowledge of compliance frameworks (e.g., GDPR, CCPA, SOC 2) a plus

EDUCATION AND EXPERIENCE

Quantitative bachelors’ degree preferred but not required
Prior experience in a data engineering or data-heavy backend software engineering role

PHYSICAL REQUIREMENTS

Job requires the ability to use vision, adjust focus and work on a standard computer screen
Job may require extended sitting or standing, use of standard office equipment

CERTIFICATION AND LICENSES

Professional certification may be required in some areas.

MUST COMPLETE PI ASSESSMENT IN ORDER TO BE CONSIDERED FOR THE POSITION:

https://assessment.predictiveindex.com/bo/28w/Candidate_Link

WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

Quarterly Incentive Plan
136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
Excellent Medical, Dental and Vision benefits
Tuition Reimbursement for education related to your job
Employee Referral Bonuses
Employee Recognition and Rewards Program
Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
Employee Discounts
Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify

Company benefits are contingent upon meeting eligibility requirements and plan conditions.

","hiringOrganization":{"@type":"Organization","name":"Crane Worldwide Logistics","sameAs":"https://www.craneww.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston, Texas, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Product Manager, Data Products","datePosted":"2025-09-08","description":"

Company Description

About A Place for Mom:

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.

Our employees live the company values every day:

Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
Win The Right Way: We see organizational integrity as the foundation for how we operate.
Embrace Change: We innovate and constantly evolve.

Job Description

The Position:

A Place for Mom is seeking a Senior Product Manager, Data Products to help build the future of our senior care data ecosystem. As a member of our growing Data Product team, this role will define and drive how we systematically collect, organize, and package our internal proprietary data to maximize value for the families we serve and our partners within the senior care space.

What you will do:

In this role, you will oversee the next evolution of A Place for Mom’s data capabilities, developing the vision for an updated foundation of data capable of powering a diverse and growing set of internal- and external-facing use cases. You will partner closely with a wide range of key stakeholders - from senior leadership, to marketing and sales domain owners, to product and technical vertical owners - to define and execute on an ambitious roadmap to democratize insights and unlock new sources of value for our clients and customers.

Specific responsibilities include:

Articulation of the vision and practical execution plan for a robust and easy-to-use semantic layer to serve as the underpinning of company-wide analytics
Collaboration with stakeholders to scope and develop net-new curated datasets optimized for key internal use cases (e.g. forecasting, user profiles, targeted outreach, etc.)
Providing clear, well-scoped requirements to data engineering and platform teams to enable timely delivery of updated functionality
Partnership with analysts and MLEs to identify opportunities to optimize data organization for cost-effectiveness, accuracy, and time-to-insight
Evangelization of self-service data tools - including AI-powered solutions - to a variety of technical and non-technical stakeholders
Proactive communication to senior leadership of progress and identified value-add of data investments
Work with business unit teams to identify, evaluate, and productize data monetization opportunities

Qualifications

Bachelor’s degree (Master’s preferred) in quantitative/statistics-intensive field such as Statistics, Economics, Mathematics, or Computer Science
5+ years of experience in platform product management, with preference for candidates with past data product roles and/or prior background as a data scientist or data engineer
Demonstrated track record of taking products from ideation through successful implementation (especially internal tools or data-intensive B2B solutions)
Expertise with SQL and data modeling strongly preferred
Aptitude for defining relevant, actionable KPIs for assessing the health and utility of foundational/infrastructure products
Excellence in communicating technical information and quantitative insights to leadership audiences
Comfort operating in high-pace environment and with evangelizing new processes to stakeholders of varying technical skill levels

Additional Information

Compensation

Base Salary: $150,000 to $175,000 + 10% Bonus
Benefits:
- 401(k) plus match
- Dental insurance
- Health insurance
- Vision Insurance
- Paid Time Off

All your information will be kept confidential according to EEO guidelines.

#LI-KT1

#LI-REMOTE

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Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.

As a Software Engineer Principal within PNC's Technology - Data Products organization, you will be based in Pittsburgh, PA, Strongsville, OH, Birmingham, AL, or Dallas, TX.

The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

As a Software Engineer Principal you will play a crucial role in shaping how data is used to create innovative and valuable data products for Lines of Businesses (Retail Lending, Retail Deposits, Wholesale and Wealth Management) and for Enterprise Technology.

Some of your responsibilities will include, but are not limited to:
- Refine our strategy for creating, deploying, and improving data products, ensuring alignment with the bank's overall strategic goals. This involves identifying opportunities for innovation and ensuring data products remain competitive.
- Define/refine the data product lifecycle (Initiation / Discovery through Deploy and Maintain lifecycle stages) playbook with key deliverables, standards, frameworks relevant across the process.
- Establish and manage processes for identifying, evaluating, and prioritizing data product initiatives based on potential business impact, technical feasibility, and alignment with strategic objectives.
- Act as an advocate for data products and the underlying data platform, promoting their value and increasing usage across different business units within the bank.
- Stay informed about industry trends, emerging technologies (like AI and advanced analytics), and best practices in data strategy and product management within financial services.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

Aligns business strategy with software solutions.
Proposes, designs & codes software solutions to address complex business needs. Oversees technical and procedural documentation required.
Leads complex problem solving.
Provides technical guidance and support to colleagues and solution development.
Displays an innovative approach to apply modern principles, methodologies and tools to advance business initiatives and capabilities.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Application Development, Business Management, Customer Solutions, Design, Group Problem Solving, Process Improvements, Release Management, Software Solutions, User Experience (UX) Design

Competencies

Application Design, Architecture, Packaged Application Integration, Product and Vendor Evaluation, Software Process Improvement (SPI), System Development Life Cycle, Technical Troubleshooting

Work Experience

Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $65,000.00 – $165,600.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 09/10/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say \"Workday\" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

","hiringOrganization":{"@type":"Organization","name":"PNC","sameAs":"https://www.pnc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Two PNC Plaza (PA374), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Software Engineer, Content Data Products","datePosted":"2025-09-10","description":"

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

\n\n\n\n

About the Role

The New York Times is looking for a Software Engineer to join the Content Data Products team. You will report to an Engineering Manager and work with a team of engineers, product and project managers to build systems that turn NYT's archive of publishing content into data products. These tools will be used by internal teams and external partners who wish to derive insights from or build experiences based on NYT content.

The Content Data Products team sits within the Publishing group at the New York Times, which is responsible for the content management system for all of the Times. It empowers development teams to build and evolve innovative experiences with speed, and provides editors and creators with a unified and interconnected suite of tools they can use with confidence to make the world's best journalism.

Responsibilities:

\n
Collaborate with product, design, and other engineers to build content data products and APIs within the NYT's publishing platform, including internal data solutions and external offerings
\n
\n
Build reliable, secure, scalable features or components, owning them from design through implementation, QA, deployment, and monitoring
\n

\n
Use AI to process our archive and turn it into data
\n

\n
Ensure a high degree of code quality, reusability, and system observability
\n
\n
Review code written by other software engineers on the team and provide feedback
\n
\n
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
\n
\n
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
\n
\n
This role reports to the Engineering Director.
\n

Basic Qualifications:

\n
2+ years of software engineering experience
\n

\n
Full stack engineering experience: Either fluency in backend technologies (Go, Python, Java, Scala or similar) and SQL databases, with front end familiarity (ideally Javascript). Or fluency in Javascript and modern JS ecosystem (e.g. ES6+, Typescript, Node.js, React) and familiarity with backend technologies
\n

\n
Familiarity with AI/ML
\n
\n
Experience building data products or APIs with an understanding of some data concepts
\n
\n
Experience with CI/CD concepts and tooling
\n
\n
Demonstrated experience working collaboratively as a part of a cross-functional team
\n

Preferred Qualifications:

\n
Experience with Content Management Systems
\n
\n
Familiarity with metadata and tagging
\n
\n
Familiarity with data feeds development
\n
\n
Familiarity with cloud computing platforms like GCP or AWS
\n

REQ-019828

#LI-Hybrid

The annual base pay range for this role is between:$110,000—$130,000 USD

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable \"Fair Chance\" laws.

For information about The New York Times' privacy practices for job applicants click here.

Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

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SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

We are looking for a Senior Software Engineer to join SeatGeek’s Data Products team. This team is focused on building and delivering enterprise-level data solutions to major sporting and entertainment organizations throughout the world. Our team is focusing on rearchitecting and building the next generation of solutions our clients have already come to appreciate and love.

What you'll do

Build software and tooling that powers our Enterprise Data Services - providing industry-leading data products and services to top sporting and entertainment organizations throughout the world
Mentor other engineers in the team and help them grow technically
Lead by example - produce clean, well tested code, thorough documentation, runbooks and operational excellence
Partner closely with a world-class Product Team to develop requirements for delivering complex data-driven products
Communicate and collaborate with stakeholders throughout the company to institute best practices aimed at managing data quality

What you have

5+years of experience with a track record in Analytics, Data Engineering or data focused products.
Expert-level knowledge of SQL and strong proficiency in programming with Python
Experience delivering data-driven products with enterprise-level operational excellence in mind
Experience interfacing with streaming data and data warehousing environments
Strong experience with DBT and Kafka

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

ETL: Python, DBT, & Kafka
Databases: PostgreSQL and Redshift
Dashboarding: Looker, Tableau & Hex
Code versioning: GitLab
Required languages: SQL and Python

Perks

Equity stake
Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
A WFH stipend to support your home office setup
Unlimited PTO
Up to 16 weeks of fully-paid family leave
401(k) matching program
Student loan support resources
Health, vision, dental, and life insurance
Up to $25k towards family building and reproductive health services
Gender-affirming care support program
$500 per year for wellness expenses
Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
$120 per month to spend on tickets to live events
Annual subscription to Spotify, Apple Music, or Amazon music

\n\n

The salary range for this role is $140,000 - $200,000 USD. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

","hiringOrganization":{"@type":"Organization","name":"SeatGeek","sameAs":"https://seatgeek.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Data Products","datePosted":"2025-09-12","description":"

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

What you'll do

Build software and tooling that powers our Enterprise Data Services - providing industry-leading data products and services to top sporting and entertainment organizations throughout the world
Mentor other engineers in the team and help them grow technically
Lead by example - produce clean, well tested code, thorough documentation, runbooks and operational excellence
Partner closely with a world-class Product Team to develop requirements for delivering complex data-driven products
Communicate and collaborate with stakeholders throughout the company to institute best practices aimed at managing data quality

What you have

5+years of experience with a track record in Analytics, Data Engineering or data focused products.
Expert-level knowledge of SQL and strong proficiency in programming with Python
Experience delivering data-driven products with enterprise-level operational excellence in mind
Experience interfacing with streaming data and data warehousing environments
Strong experience with DBT and Kafka

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

ETL: Python, DBT, & Kafka
Databases: PostgreSQL and Redshift
Dashboarding: Looker, Tableau & Hex
Code versioning: GitLab
Required languages: SQL and Python

Perks

Equity stake
Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
A WFH stipend to support your home office setup
Unlimited PTO
Up to 16 weeks of fully-paid family leave
401(k) matching program
Student loan support resources
Health, vision, dental, and life insurance
Up to $25k towards family building and reproductive health services
Gender-affirming care support program
$500 per year for wellness expenses
Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
$120 per month to spend on tickets to live events
Annual subscription to Spotify, Apple Music, or Amazon music

\n\n

To review our candidate privacy notice, click here.

","hiringOrganization":{"@type":"Organization","name":"SeatGeek","sameAs":"https://seatgeek.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"[DATA PRODUCTS MISC] SENIOR DATA ENGINEER","datePosted":"2025-07-21","description":"

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Pensando nisso, construímos a Stone Tech! A junção dos times de tecnologia Stone Co. e as empresas financeiras do grupo que reconhecem o potencial empreendedor de cada brasileiro. Por aqui, temos todas as inovações e tecnologias de ponta da Stone, Pagar.me, Ton e Vitta, com uma galera referência no mercado de tecnologia, em um ambiente descontraído, repleto de desafios, oportunidades, flexibilidade, teamplay e desenvolvimento contínuo.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

💚The Reason: O cliente não tem razão, ele é a razão. Nos motivamos a enxergar o impacto do nosso trabalho na vida do cliente, é vendo que melhoramos a vida dele que sabemos que fizemos uma boa entrega.

O time de Data Engineering Platform::

No time da Plataforma de Dados da Stone, somos responsáveis por desenvolver e manter uma infraestrutura robusta que atende a todas as necessidades de analytics da nossa organização. Nosso objetivo principal é fornecer soluções de autosserviço para nossos usuários, permitindo operações em larga escala e evitando gargalos que possam impactar a eficiência dos nossos consumidores de dados. Nossa plataforma foi projetada para atender a diversas necessidades, incluindo: Criação de dashboards de gestão: Facilitar a construção de painéis de controle intuitivos e informativos. Análise de dados e data science: Suportar a exploração e interpretação de dados complexos para gerar insights acionáveis. Machine learning: Fornecer as ferramentas necessárias para desenvolver e implementar modelos preditivos. Visualização de dados: Oferecer múltiplas formas de visualização para que nossos usuários possam interpretar dados de maneira eficaz. Democratização dos dados: Promover o acesso e a utilização ampla dos dados dentro da Stone. Se você é uma pessoa Data Engineer Sênior apaixonada por dados e tecnologia que deseja fazer parte de uma equipe inovadora e dinâmica, venha contribuir para a nossa missão de impulsionar a eficiência e a tomada de decisões baseada em dados.

Como é ser uma pessoa Sênior Data Engineer:

A capacidade de contribuição da pessoa sênior consiste em ser referência técnica para o time e o ponto focal para liberar entraves do dia a dia. Com alto nível de responsabilidade e liberdade para tomar decisões, atua na identificação de gaps, no nivelamento da qualidade das entregas com facilidade e no gerenciamento das expectativas das demandas e entregas com as demais áreas. Além de ser responsável pela estratégia e inovação do time/squad junto com sua liderança.

Além disso, será responsável por:

Atua em problemas ambíguos sem escopo pré-definido e que exigem priorização difícil, equilibrando prazo e qualidade
É referência para tomada de decisões acerca de detalhes da solução
Auxilia a equipe a resolver problemas sem escopo bem definido e participa na descoberta da solução
Fornece sugestões e levanta críticas construtivas, disseminando conhecimento técnico no time
Define e entrega de forma autônoma roteiros técnicos de projetos maiores, muitas vezes envolvendo dependências entre equipes

O que esperamos de você:

Experiência com engenharia de software em Python (ter desenvolvido e/ou mantido uma aplicação em Python);
Experiência com testes automatizados;
Experiência com arquitetura de código (ex: arquitetura limpa, arquitetura hexagonal, etc)
Experiência com ferramentas de transformação de dados, sobretudo dbt;
Experiência prática com Spark, Airflow e Deltalake;
Experiência prática com Terraform aplicado em fluxos automáticos (CI/CD);
Experiência com nuvem, em especial AWS e seus serviços;
Conhecimento sobre conteinerização de serviços (Docker, docker compose, kubernetes, etc);

O que aumenta as suas chances:

Conhecimentos teórico-práticos profundos sobre bancos de dados (relacionais e não relacionais);
Conhecimentos teórico-práticos de Google BigQuery e/ou Databricks.

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Virtual Verde disponível 24 horas por dia, 7 dias por semana, de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

🌴 Convênio SESC

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche - para crianças até 5 anos e 11 meses

💰 Salário Fixo + PLR (quando preenchidos os requisitos)

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

📞Entrevistas com o time de People: Este é o momento de nos conhecermos! Você terá um papo inicial com nosso time de recrutamento, com o objetivo de conhecer nossa cultura, estrutura e o desafio que está sendo proposto.

🎯Avaliação Técnica: Nesta etapa vamos nos aprofundar nas suas hard skills! Geralmente essa avaliação é composta por dois papos ou um papo mais o desafio, com o objetivo de avaliar habilidades e competências técnicas específicas para a vaga. Além de te apresentar possíveis pares e liderança.

✅Check de Cultura: Nossa cultura é muito importante e está sempre presente no dia a dia! Aqui, você terá um papo com uma das nossas pessoas guardiãs da cultura, com o objetivo de nos conhecer e garantir que nossas crenças, nosso jeito de pensar e nossa visão de futuro estão alinhadas com o que você acredita e busca vivenciar.

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

Aqui na Stone Co., valorizamos e procuramos as melhores pessoas para nos ajudar a melhorar a vida das pessoas empreendedoras do Brasil. Nosso sonho é do tamanho do universo e, se você se identifica com o nosso propósito, venha construí-lo com a gente! Caso queira saber mais:

Confira nossa trilha de carreira para o time de tecnologia, a Star Trail Tech.
Vem conhecer nosso time e aprender muito no nosso canal do Youtube.
Temos vários artigos no Medium.
Não deixe de dar uma conferida no nosso Github.
Confira aqui as diretrizes do nosso Código de Ética.
E pra ficar por dentro de todas as novidades, é só nos seguir no Twitter.

#LI-REMOTE (remoto)

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

Como é ser uma pessoa Senior Business Analyst:

Time orientado a problem solving, em parceria com times de negócio e produtos, desenvolvendo soluções de análises avançadas para maximizar a experiência dos clientes. Além de:

Realizar análises para geração de valor para a companhia;
Desenvolvimento de análises e dashboards para acompanhar performance dos produtos;
Desenho de experimentos para testes de novos produtos, novas funcionalidades;
Entender perfil comportamental dos nossos clientes;

O que esperamos de você:

Perfil com forte experiência em negócio, mercado financeiro, marketing,
Conhecimento avançado em manipulação de dados: SQL, Python, BQ e Databricks,
Conhecimento de ferramentas de visualização de dados (Tableau, Power BI),
Orientado a Problem Solving,
Habilidade de Storytelling avançada: construção de narrativas (ppt e google apresentações),

O que aumenta as suas chances:

Experiência com técnicas estatísticas, Machine Learning e IA;

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Digital, da Vitta: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

💻 Auxílio Remoto + Setup Inicial (exclusivo para vagas remotas)

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche

💰 PLR

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

#Li-Remote

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

Como é ser uma pessoa Sênior Data Enginner:

A capacidade de contribuição da pessoa Sênior consiste em ser referência técnica para o time e o ponto focal para liberar entraves do dia a dia. Com alto nível de responsabilidade e liberdade para tomar decisões, atua na identificação de gaps, no nivelamento da qualidade das entregas com facilidade e no gerenciamento das expectativas das demandas e entregas com as demais áreas. Além de ser responsável pela estratégia e inovação do time/squad junto com sua liderança. Além disso, será responsável por:

Atuar em problemas ambíguos sem escopo pré-definido e que exigem priorização difícil, equilibrando prazo e qualidade;
Ser referência para tomada de decisões acerca de detalhes da solução;
Auxiliar a equipe a resolver problemas sem escopo bem definido e participa na descoberta da solução;
Fornecer sugestões e levanta críticas construtivas, disseminando conhecimento técnico no time;
Definir e entregar de forma autônoma roteiros técnicos de projetos maiores, muitas vezes
envolvendo dependências entre equipes;

O que esperamos de você:

Experiência com ferramentas de streaming de dados, sobretudo kafka;
Experiência engenharia de software com Python;
Já ter trabalhado implementando ou gerenciando um ambiente Databricks em qualquer cloud;
Experiência prática com Terraform aplicado em fluxos automáticos (CI/CD);
Já ter usado a cloud AWS e conhecer seus principais serviços;
Conhecimento sobre conteinerização de serviços (ex. de ferramentas: Docker, docker compose, kubernetes, etc);
Ter experiência escrevendo testes automatizados;

O que aumenta as suas chances:

É considerado um diferencial conhecimento prático em BigQuery;

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Digital, da Vitta: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

💻 Auxílio Remoto + Setup Inicial (exclusivo para vagas remotas)

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche

💰 PLR

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

#Li-Remote

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

Como é ser uma pessoa Sênior Data Engineer:

Estamos buscando pessoas engenheiras de dados com background e expertise na área, criativas, com energia, comprometidas, que saiba trabalhar bem em equipe, com foco de resolver o problema do cliente com muita qualidade e que queiram encarar conosco o desafio de fazer parte do time de tecnologia responsável pelo Crédito da Stone.

Nosso produto está na rua a todo vapor e queremos escalar ainda mais nosso produto ampliando a sua capacidade, aproveitando todo seu potencial e melhorar ainda mais os pilares técnicos e de eficiência. Nosso produto tem interação com diversas fontes de dados importantes e cruciais para a vida do ciclo de crédito, sejam nossos dados internos cadastrais e transacionais, dados de provedores externos sobre endividamento, restritivo, rede de relacionamento, garantias e os diversos dados internos da companhia. Integrar, transformar e disponibilizar esses dados não é uma tarefa fácil e com todo volume que temos o desafio se torna ainda maior. Pra continuar no caminho certo, precisamos das melhores pessoas, que saibam contribuir bem em time e trabalhar sem ego, afinal, só como um time temos grandes resultados!

Importante lembrar que o nosso desafio requer pessoas com pensamentos de processar dados, construindo processos de qualidade e dispostas a construir sistemas altamente escaláveis e resilientes.

Junto ao time, você será responsável por:

Você irá compor um time de alta performance com o foco em: projetar, desenvolver, testar, implantar, manter e melhorar o processos de engenharia de dados com foco em solucionar problemas reais dos nossos clientes;
Auxiliar na construção de soluções com visão de longo prazo e muita qualidade;
Você será um defensor das boas práticas, nossos acordos e processos, revisões, testes e documentações dentro do seu time e influenciar esta cultura o máximo possível;
É esperado de você extrema facilidade de trabalho em equipe, muita franqueza e transparência para que no dia-a-dia possa ter ótimo relacionamento com o time e transmitir conhecimento;
Aqui todos possuem a mente aberta para trabalhar com qualquer tecnologia, muita vontade de aprender e entregar resultado, além de ser apaixonado por tecnologia e sistemas de alta performance;

O que esperamos de você:

Experiência em linguagem de desenvolvimento para ferramentas e rotinas de Data Engineering (Python, Java, Scala ou outras);
Processo de Data Quality / qualidade e testes para Engenharia de Dados;
Conhecimentos sobre BigQuery / Datalake;
Conhecimentos de processamento com Databricks / ferramentas de Big Data;
Experiência com operação de serviços na nuvem;

O que aumenta as suas chances:

Conhecimentos de negócio de Crédito e Risco;
Conhecimento de provedores de dados como SCR, Boa Vista (BVS), Serasa etc;
Experiência em projetos voltados para a área financeira;
Experiência com aplicações críticas e de alta disponibilidade;
Experiência com outras tecnologias em geral é sempre um diferencial;

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Digital, da Vitta: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

💻 Auxílio Remoto + Setup Inicial (exclusivo para vagas remotas)

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche

💰 PLR

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

#Li-Remote

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

","hiringOrganization":{"@type":"Organization","name":"Stone","sameAs":"https://www.stone.com.br/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remoto"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Data Products Working Student (alle gender)","datePosted":"2025-08-21","description":"Ready to help shape the future of open finance?
At Qwist, we're shaping the future of how financial data empowers businesses and consumers. Are you passionate about data, technology, and machine learning? Join our team as a Working Student and get hands-on experience with real-world transaction data, machine learning models, and innovative tools – all while supporting exciting projects in a fast-moving environment.

What you’ll do

Work with Python to query, analyse and explore transaction data
Support and improve our Categorisation Engine’s ML models (using SHAP values, CatBoost, scikit-learn)
Test out new technologies and tools to boost performance and uncover new insights
Build automation tools and features that make the team more efficient
Review data and suggest concrete improvements for different markets and use cases
Contribute to quarterly projects – from engine performance to developing new solutions
Collaborate closely with your teammates and stakeholders across the company
Document your work clearly so it can be reused and improved

What you bring to the team

You’re a registered student near one of our offices (Berlin or Munich)
First hands-on experience with Python and motivation to learn more
A proactive, can-do mindset and eagerness to take initiative
Structured, detail-oriented way of working and strong teamwork skills
Fluency in English, intermediate German skills minimum (other European languages are a plus)
Tech-savviness and curiosity to pick up new tools and topics quickly
Flexibility and adaptability to tackle new challenges

What we offer you

Actively shape the future with a leading Open Finance pioneer supporting Europe’s top banks
30 vacation days per year on a fulltime basis to recharge and maintain balance
Personal development budget, structured feedback and salary review process, and opportunities to grow
A monthly benefits budget – usable for mobility, health, or lifestyle
Public transport subsidy for a sustainable and stress-free commute
A modern, centrally located office with a positive atmosphere – including weekly yoga classes
A supportive, purpose-driven company culture with experienced and committed colleagues

Diversity welcome!
Don’t meet every single requirement? If you’re passionate about the role and our mission, we’d love to hear from you.","hiringOrganization":{"@type":"Organization","name":"Qwist","sameAs":"https://qwist.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Qwist GmbH - Germany (Berlin), Qwist GmbH - Germany (Bayern - Remote)","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"[Data Products MISC] Senior Analytics Engineer","datePosted":"2025-08-15","description":"

(INCLUIR A # REFERENTE AO MODELO DE TRABALHO DA VAGA)

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

O time de [Nome da Plataforma]:

xxx

Como é ser uma pessoa Product Manager:

xxx

O que esperamos de você:

O que aumenta as suas chances:

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Digital, da Vitta: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

💻 Auxílio Remoto + Setup Inicial (exclusivo para vagas remotas)

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche

💰 PLR

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

Company Description

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

NBCUniversal’s Media Group is looking for a highly motivated Senior Analyst, Distribution Measurement & Data Products to join the Decision Sciences team. This role supports performance measurement across NBCU’s portfolio of distribution partnerships—including across digital platforms, MVPDs, and enterprise/marketing partnerships—by ensuring data and reporting solutions are accurate, reliable and launch-ready.

The Senior Analyst will support day-to-day execution across several key areas: defining and QAing performance metrics, building and maintaining dashboards, investigating data and reporting issues, and supporting new partner integrations from a reporting and measurement perspective. Success in this role requires strong technical acumen—particularly in working with large datasets and reporting tools—along with the ability to distill complex technical details into clear, actionable takeaways for business stakeholders and leadership.

This is a highly cross-functional role that requires close collaboration with engineering, data, product, technology and business teams. Given the pace and complexity of ongoing partner integrations, the work is dynamic and fast-moving—ideal for someone who enjoys solving problems, adapting quickly, and making an immediate impact.

Your work will play a critical role in ensuring NBCUniversal can accurately measure the performance of its distribution partnerships, enabling smarter decisions, stronger launches, and more effective deal outcomes.

Qualified candidates may be asked to complete a skills assessment.

Day-to-day:

Develop a deep understanding of NBCU distribution deal constructs to inform performance measurement and guide reporting needs
Support the development and maintenance of recurring dashboards and performance reporting for distribution partner integrations
Perform detailed data validation and QA to ensure reporting outputs are accurate, complete, and aligned with defined measurement requirements
Investigate data anomalies, reporting gaps, or inconsistencies, and partner with cross-functional teams to help identify root causes and implement fixes
Build SQL queries to extract, manipulate, and validate data from large-scale data sources
Support reporting requirement gathering for new distribution launches
Collaborate with product, engineering, and analytics partners to ensure reporting reflects current data availability and business analytic needs
Document data logic, metric definitions, and reporting workflows to ensure continuity and transparency
Write and manage engineering tickets as needed, clearly articulating business and technical requirements
Track and summarize ongoing data defects, enhancements, and new features for management, ensuring appropriate prioritization and escalation when appropriate
Manage multiple reporting requests and deadlines while prioritizing based on business needs

Execute ad hoc analyses that surface key performance trends as needed

Qualifications

2+ years of experience in data analytics, data products, business intelligence, or performance reporting, ideally within media, streaming, or a consumer tech company
Proficiency in SQL for querying and analyzing large datasets; experience with Databricks (or similar platforms) strongly preferred
Hands-on experience with BI tools—ideally Tableau—to build, maintain, and troubleshoot dashboards and visualizations
Strong attention to detail and commitment to delivering clean, accurate, and timely work
Demonstrated ability to troubleshoot data issues and follow through with thoughtful problem-solving
Comfort working in a fast-paced, iterative environment with multiple workstreams while maintaining a highly organized work slate
Excellent communication skills, particularly in explaining technical findings to non-technical stakeholders
Bachelor’s degree in a quantitative, technical, or analytical field (e.g., Data Science, Statistics, Economics, Computer Science)

Nice to Have

Familiarity with the streaming media ecosystem and distribution business models
Experience working with data product or data engineering teams
Experience with project management, issue tracking and collaboration tools (e.g., JIRA, Confluence)

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

Salary range: $75,000 - $100,000 (bonus and long-term incentive eligible)

Additional Information

","hiringOrganization":{"@type":"Organization","name":"NBCUniversal","sameAs":"https://www.nbcunicareers.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NEW YORK, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"[Data Products MISC] Senior Analytics Engineer","datePosted":"2025-08-15","description":"

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

Como é ser uma pessoa Analytics Engineer Sênior:

Somos responsáveis por criar produtos de dados que atendem às diferentes necessidades do negócio.

Como pessoa Engenheira de Analytics, somos a ponte entre as necessidades de negócios e a plataforma de dados. Nós criamos pipelines de dados com para melhorar e aumentar a disponibilização de indicadores no nosso lakehouse, criamos monitoramentos e testes que garantem a qualidade dos pipelines desenvolvidos de ponta a ponta. Em conjunto com as pessoas de produtos, nós entendemos as regras de negócio e utilizamos as melhores práticas de modelagem de dados para garantir muita performance e qualidade em nossos produtos. Além de:

Contribuir para o design, documentação, manutenção, monitoramento e otimização de nossos códigos, ferramentas e pipelines de dados de produção (ETL/ELT);
Traduzir as necessidades de negócios em soluções alinhadas com as ferramentas e estratégias da plataforma de dados;
Negociar com stakeholders uma estratégia de dados que possa gerar o maior impacto;

O que esperamos de você:

Ser apaixonado por dados;
Ser capaz de escrever queries em SQL para resolver problemas de alta complexidade de forma otimizada;
Ter experiência em diferentes técnicas avançadas de modelagem de dados voltadas para fins analíticos (ex: Data Lake, Lakehouse, Data Warehouse, Data Mart, etc)
Ter experiência com nuvem, em especial AWS e seus serviços;
Conhecimentos teórico-práticos de Google BigQuery e/ou Databricks.
Experiência prática com linguagens de programação orientadas para fins analíticos (Ex. Python, R, Scala, etc.)
Ter experiência em qualidade e observabilidade dos pipelines de dados, utilizando monitoramentos, testes automatizados, etc;
Capacidade de abstrair conceitos de negócios em métricas quantitativas (Ex. KPIs, OKRs, etc)
Conhecimento em ferramentas de visualização de dados, como Looker, Power BI,Tableau, etc.
Boas habilidades de comunicação para lidar com as partes interessadas de áreas técnicas e áreas de negócios.

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥Hospital Virtual Verde disponível 24 horas por dia, 7 dias por semana, de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

🌴 Convênio SESC

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche - para crianças até 5 anos e 11 meses

💰 Salário Fixo + PLR (quando preenchidos os requisitos)

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

Confira nossa trilha de carreira para o time de tecnologia, a Star Trail Tech.
Vem conhecer nosso time e aprender muito no nosso canal do Youtube.
Temos vários artigos no Medium.
Não deixe de dar uma conferida no nosso Github.
Confira aqui as diretrizes do nosso Código de Ética.
E pra ficar por dentro de todas as novidades, é só nos seguir no Twitter.

#Li-Remote#LI-REMOTE (remoto

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

Reference No. R2818121

Position Title: Operations Lead, R&D Data Products

Department: R&D Data Products and Platforms (Sabya DG)

Location: Toronto, Ontario

About the Job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data Products and Platforms Team as an Operations Lead and you can help make it happen.

Your job:  

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

The R&D Data Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.

As an Operations Lead, you will be responsible for driving operational health of the Data Products & Platforms Team and ensuring seamless coordination and execution of initiatives that maximize the value of data products. You will work across teams and closely with delivery pods to establish governance forums and structures, enable consistent delivery practices, and drive adoption of data products through change management initiatives. You will serve a critical role in enabling the success of the Data Products & Platforms Team.

Our vision for digital, data analytics and AI :

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: 

AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Operational Governance

Establish and conduct R&D Data/AI Products operational governance forums to ensure timely reporting, effective coordination across the team, and provide support for escalations
Monitor, evaluate, and report key operational health metrics to enable efficient issue resolution and risk mitigation

Value Realization & Tracking

Develop and implement frameworks for tracking and measuring the top down and bottoms up value driven by the Data Products & Platforms Team delivery
Partner with delivery pods and stakeholders to identify opportunities for increasing the value of data & AI product investments
Work closely with delivery pods to centrally track and monitor KPIs and metrics

Roadmap Management & Delivery Oversight

Consult on strategic demand activities to ensure alignment with Sanofi’s vision and objectives and the broader R&D Data Products & Platforms roadmap
Oversee resource responsible for the maintenance of an integrated roadmap across all R&D Data & AI products and monitoring of delivery timelines, milestones, and dependencies

Delivery Best Practices & Standardization

Collaborate with the Data/AI Product Line Owners and Product Owners to understand needs and opportunities for driving standardization and best practices within the pods
Ensure that Operations is effectively supporting pod activities and providing proper guidance and direction
Develop and drive the adoption of delivery best practices and standard ways of working across delivery pods
Collaborate with stakeholders to ensure consistency and quality in delivery methodologies and processes

Change Management

Develop and execute change management plans, in close collaboration with the R&D Business, to support the adoption of R&D data products

Stakeholder Coordination & Collaboration

Continuously evaluate and improve the Data Products & Platforms Team operations to maintain alignment with Sanofi vision
Serve as central point of contact to ensure effective communication and alignment across delivery pods, business, and the Operations Team
Provide regular updates on operational health and value realization in appropriate governance forums and to team leadership

About You:

Key Functional Requirements & Qualifications:

HBSc or BSc in life sciences, business, information systems or similar field; MBA or relevant advanced degree preferred.
8+ years of experience in project management, change management, management consulting, or other related field, preferably with experience in the life sciences.
Demonstrated ability to coordinate operational activities, including managing projects and operational reporting.
Experience working with cross-functional teams and diverse groups of both technical and business stakeholders.
Experience with driving organizational change, value management, and/or operational governance is preferred.
Demonstrated ability to navigate large teams and complex stakeholder dynamics to drive outcomes successfully.
Background in Pharma R&D strongly preferred.

Key Technical Requirements & Qualifications:

Strong understanding of data product lifecycle management, delivery processes, and Agile methodology.
Exceptional organizational, communication, and collaboration skills.
Ability to develop compelling content in PowerPoint.
Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related.
Familiarity with bioinformatics tools and ML frameworks for scientific applications.
Strong understanding of UX/UI, application design, and data engineering principles.
Experience with cloud platforms, AI platforms, and data pipelines is a plus.

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

This position is for a current vacant role that we are actively hiring for.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SP
#LI-SP

#LI-Onsite

#DBBCA

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

$121,000.00 - $174,800.00

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

La fourchette salariale pour ce poste est la suivante:

$121,000.00 - $174,800.00

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.

","hiringOrganization":{"@type":"Organization","name":"Sanofi","sameAs":"https://www.sanofi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"[Data Products MISC] Sênior Business Analyst","datePosted":"2025-08-25","description":"

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Nossa cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

Como é ser uma pessoa Senior Business Analyst:

Time orientado a problem solving, em parceria com times de negócio e produtos, desenvolvendo soluções de análises avançadas para maximizar a experiência dos clientes. Além de:

Realizar análises para geração de valor para a companhia;
Desenvolvimento de análises e dashboards para acompanhar performance dos produtos;
Desenho de experimentos para testes de novos produtos, novas funcionalidades;
Entender perfil comportamental dos nossos clientes;

O que esperamos de você:

Perfil com forte experiência em negócio, mercado financeiro, marketing,
Conhecimento avançado em manipulação de dados: SQL, Python, BQ e Databricks,
Conhecimento de ferramentas de visualização de dados (Tableau, Power BI),
Orientado a Problem Solving,
Habilidade de Storytelling avançada: construção de narrativas (ppt e google apresentações),

O que aumenta as suas chances:

Experiência com técnicas estatísticas, Machine Learning e IA;

Nossos benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Digital, da Vitta: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

💻 Auxílio Remoto + Setup Inicial (exclusivo para vagas remotas)

🕗 Horário flexível

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 Auxílio Creche

💰 PLR

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀

#Li-Remote

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

Job Description

Senior Data Engineer – Manufacturing Data Products

The Opportunity

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats.

Our Technology Centres focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centres are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Centre helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres.

Role Overview:

The Senior Data Engineer will lead the design and development of scalable data pipelines and reusable data products, models and assets that support external partner integration and broader divisional use in organization. This role will be responsible for understanding business/data requirements, formulating appropriate solution architectures, building data structures and models supporting business goals, and generally providing technical leadership to the group. This role requires deep expertise in cloud-native data engineering, data contracts, and medallion architecture (Bronze/Silver/Gold layers). This role will work closely with cross-functional teams to implement a common data model, support data mesh principles, and enable AI/ML capabilities across the platform. The engineer must demonstrate fluency with cloud technologies, such as AWS, and big data environments. Collaboration and the ability to communicate solutions to a non-technical audience is key. Relevant knowledge of manufacturing processes and systems is big benefit, including manufacturing execution, lab management, ERP, quality, and supply chain. Interest in mentoring and leading other colleagues is a plus.

What will you do in this role:

Build sets of reusable data products to support multiple digital and analytical solutions across the division.
Design and implement ingestion pipelines from external partners (CMOs/CTLs) using structured data contracts.
Build and maintain medallion architecture (Bronze, Silver, Gold layers) to support real-time and batch data processing.
Enable data contextualization, lineage, and observability across ingestion and transformation layers.
Support FAIR data principles (Findable, Accessible, Interoperable, Reusable) through mesh architecture and localized data ownership.
Integrate legacy systems (ERP, MES, LIMS, QMS) into a unified analytics platform.
Implement scalable orchestration using tools like Apache Airflow or Dagster.
Contribute to AI/ML model deployment pipelines and support AI-augmented analytics.
Ensure compliance with data governance, security, and regulatory standards (e.g., GxP).
Participate in DevSecOps practices and CI/CD pipelines for data deployments.
Work with suite of AWS cloud services and other modern cloud technologies and capabilities and participate in the continuous push for new patters and technology.

What Should you have:

10+ years in data engineering or related IT roles.
5+ years in cloud-native data platforms (AWS preferred) and big data environments.
Strong experience with SQL, Python, DBT, and data lakehouse architectures.
Hands-on experience with AWS services (S3, Glue, IAM, DMS), Trino, and GitHub.
Familiarity with data mesh, data contracts, and medallion architecture.
Experience with orchestration tools (Apache Airflow, Dagster) and streaming data (Kafka, Kinesis).
Understanding of manufacturing data domains (quality, supply chain, production).
Significant working experience with data analysis and data modeling.
Knowledge of master/reference data management and metadata frameworks.
Strong collaboration and communication skills, especially across global teams.

Preferred Qualifications:

Experience working with external manufacturing partners or in regulated industries.
Exposure to AI/ML model integration and ML Ops practices.
Familiarity with data governance tools and observability platforms.

Who we are:

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

#HYDIT2025

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Benefits Management, Business, Business Analysis, Business Data Analytics, Business Process Improvements, Data Analysis, Data Analytics, Data Development, Data Integration, Data Modeling, Governance Management, Management Process, Program Management, Stakeholder Relationship Management, Statistical Data Modeling, Strategic Planning, Strategic Sourcing, Workforce Planning

Preferred Skills:

Job Posting End Date:

09/5/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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City

Weehawken

Job Type

Full Time

Country / State

United States - New Jersey

Function Category

Operations

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Contact Details

UBS Business Solutions SA
UBS Recruiting

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Your team

The STAAT Analytics Product Management team is working across the Data & Foundational Platforms stream to implement scalable data products to accelerate WMA’s global AI Strategy. You will be part of the strategic effort to collate data across WMA to influence data solutions for our Financial Advisors, support professionals, and clients. You’ll be joining the Analytics, Reporting & BI Crew in Weehawken, NJ.

Your expertise

• Ideally 8+ years of experience leading data warehouse & BI projects
• Deep functional and technical knowledge of data warehousing, data modeling, ETL, semantic & reporting capabilities, and overall, AI delivery models (GenAI, LLM, Machine Learning).
• Significant expertise and delivery of all types of requirements as part of front to back delivery of data or and AI solutions: (business requirements, functional requirements, data requirements & technical implementation requirements)
• Experience in Business process re-engineering using automated solutions
• Superior communication & leadership skills and demonstrated ability to build collaborate and work with various across different levels of the organization
• Excellent critical thinking skills for data analysis, exploratory data analysis of structured and unstructured large data
• Technical Skills:
o Strong understanding of data warehousing principles, ETL processes, and data modeling techniques.
o Proficiency in SQL, Python, R and data visualization tools (e.g., Tableau, Power BI).
o Experience in designing complex semantic layers and data marts.
o Proficiency in data modeling tools (e.g., Erwin Data Modeler, ER/Studio)
o Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus.
o Experience with data quality tools and techniques.
o Comprehend AI Delivery Models (NLP, Machine Learning Models, Model Evaluation)

About us

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

We have a presence in all major financial centers in more than 50 countries.

Salary information

US Only: The expected salary range for this role is $135000 to $175000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see «Your role» section for detailed salary information.

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About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon’s strategic needs. The candidate should enjoy problem solving and is proficient in VBA and other automation tools.

Key job responsibilities

Key Responsibilities:
· Understanding drivers, impacts, and key influences in the BizOps Domain.
· Partnering with the business team to create key performance indicators and new methodologies for measurement.
· Translating data into actionable insights for the stakeholders.
· Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses
· You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps.
·You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions

A day in the life
Being Part of the Regulatory and Compliance POD of the Data Products Team is a highly responsible and a job of pride. The analysis & submissions enables upkeep of Prepaid Instrument licence. A typical day includes working on reports to Financial Intelligence Unit, Suspicious Activity Monitoring and Statistical Regulatory report, investigating deviation from set rules(either by customer/product/tech), understanding the domain of regulatory space and constant changes being brought by the Reserve Bank of India. Automating of report Submissions and Self serve is an ongoing and innovative challenge as many product features and enhancements are continuously added, against which the compliance register has to be validated.

Basic Qualifications

- 1+ years of data analytics or automation experience
- 1+ years of capacity planning, operations planning, business analysis or similar experience
- Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level

Preferred Qualifications

- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Job Description Summary

#LI-Hybrid
Location: Basel, Switzerland or Dublin, Ireland.

Data42 is Novartis’s data and analytics platform, that allows us to integrate different data modalities (discovery, preclinical, clinical, Real World Data (RWD)) at scale to support data-driven decision making across Novartis. We are seeking a Head of Data Engineering and Data Products to join our dynamic and innovative data and analytics team. This pivotal role is responsible for designing, building and maintaining data solutions using Palantir Foundry.

In this role you will foster the use of AI/GenAI to advance the speed of high quality data delivery as well as to democratize the access to data and insights across the organization. The Head of Data Engineering and Data Products is a member of the Data42 Leadership team which comprises a Head of Data Science and Innovation, a Head of Platform as well as a Data Governance lead. In addition, this role will collaborate with key stakeholders across the Data and Digital Organization and across Novartis to ensure the rapid delivery of high quality data and data products with a team of ~50 internal and external team members. You will contribute to the overall success of Data42 as a member of the Data42 Leadership Team. This role will report directly to the Global Head of Data42.

Job Description

Your responsibilities include but are not limited to:

Data Engineering

Define the vision, lead and continue to develop our cross-functional Data Engineering and Data Products team by staying current with emerging technologies
Responsible for architecting, designing, maintaining and optimizing complex data pipelines to support data exploration, operational workflows as well as advanced analytics
Ensure best practices for data ingestion, processing, validation, transformation and storage
Implement processes that guarantee data quality, integrity, security, compliance, and discoverability across platforms
Advance the further use of automation and AI to accelerate the quality, speed and breadth of data delivery

Data Products

Accountable for designing, building and running scalable data product solutions using agentic workflows on Palantir Foundry to democratize data access with future needs in mind.
Establish and action security and compliance policies to safeguard data access and dissemination
Collaborate across the Data and Digital Organization as well as across Novartis. Support and ensure the flexible co-ordination of activities to deliver against timelines

Delivery and Operations:

Define and track key measurements for data systems and product success
Oversee the project planning, delivery, and ongoing support for data engineering and product development
Drive continuous improvement by monitoring system performance, analyze product data, and respond to feedback

Essential Requirements:

PhD or master’s degree in computer science or a related discipline with experience in pharma R&D with more than 10-15 yrs of experience in pharma or biotech
Experience in data management, data engineering and data modelling, particularly in the design and implementation of efficient and scalable data models across different data domains with Clinical and RWD experience preferred
Knowledgeable and experienced in CDISC data models/standards (i.e. SEND, SDTM, ADaM) and RWD data models/standards (i.e. OMOP)
Experience with cloud platforms and cloud-based data and AI/ML solutions (Databricks, Snowflake, AWD SageMaker etc…)
Strong enterprise mindset strategic thinker with a vision for data-driven decision-making from an end-to-end perspective
Proven global cross-functional leadership skills including coaching and talent development, with the ability to influence stakeholders and drive organizational change within complex and ambiguous environments
Excellent communication skills with proficiency in English (oral and written)

Nice to have:

Ideally proficient in Palantir Foundry to integrate, manage and analyze large data-sets

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Benefits and rewards:

Read our handbook to learn about all the ways we’ll help you thrive personally and professionally:

https://www.novartis.com/careers/benefits-rewards

For Basel, Switzerland:

Switzerland Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Clinical Trials, Data Architecture, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Leadership, Operations, Strategy Execution","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Basel (City), Switzerland","addressCountry":"Switzerland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Sr. Product Manager – Tech, Data Products","datePosted":"2025-09-08","description":"Employer: \tAudible, Inc.
Title: \tSr. Product Manager – Tech, Data Products
Location: \t1 Washington Park, Newark , NJ 07102

Duties: Manage the definition, development, delivery, and implementation of the next generation of data products/services while driving cross-company initiatives to pilot niche technology and business initiatives. Develop business plans and product/service positioning in the marketplace. Coordinate with cross functional teams, including Technology, Finance, Marketing, Legal, Operations, Analytics, and business management in order to create a data product / service plan or business model. Identify and evaluate market opportunity for existing and future data products/services and acts as liaison with other functional groups in the development process of new data products/services or enhancement of existing ones. Partner to build and execute on new data product initiatives and roadmaps each year. Organize cross-functional activities, including collaborating with and influencing team members, working with development teams and other business groups, and presenting projects to senior leadership on a regular basis. Build relationships and identify stakeholders across the organization. Influence other teams within and across organizations and externally. Up to 10% domestic and international travel to attend conferences and lead internal trainings/meetings. Position reports into Newark, NJ office; however, telecommuting from a home office may be allowed.

Requirements: Requires a Master’s degree in Business Administration, Economics, Marketing, Engineering, Computer Science, or a related field plus three (3) years of experience as a Data Product Manager, Digital Analytics Manager, Data Engineer, Business Intelligence Engineer, or a related occupation.

Experience may be gained concurrently and must include three (3) years in each of the following:
- Managing use cases, business strategy, and financial impact of data products
- Conducting analyses of business opportunities related to data products
- Managing data-related projects throughout the full development life cycle, including external vendor management
- Working with large and complex systems and datasets
- Utilizing SQL
- Digital analytics using Adobe or Google Analytics
- Partnering with data consumers to ensure data products meet requirements for business intelligence or modeling use cases.

Alternatively, will accept a Bachelor’s degree and five (5) years of experience.

Salary: $261,250/year. Multiple positions. Apply online: www.amazon.jobs. Job Code: ADBL173.

Basic Qualifications

Requirements: Requires a Master’s degree in Business Administration, Economics, Marketing, Engineering, Computer Science, or a related field plus three (3) years of experience as a Data Product Manager, Digital Analytics Manager, Data Engineer, Business Intelligence Engineer, or a related occupation.

Experience may be gained concurrently and must include three (3) years in each of the following:
-\tManaging use cases, business strategy, and financial impact of data products
-\tConducting analyses of business opportunities related to data products
-\tManaging data-related projects throughout the full development life cycle, including external vendor management
-\tWorking with large and complex systems and datasets
-\tUtilizing SQL
-\tDigital analytics using Adobe or Google Analytics
-\tPartnering with data consumers to ensure data products meet requirements for business intelligence or modeling use cases.

Alternatively, will accept a Bachelor’s degree and five (5) years of experience.

Preferred Qualifications

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Summary

Are you passionate about customer success? Do you like digging into code, and have a drive to continuously learn and solve problems? Do you want to be part of a global team that provides the best customer service in the industry? If so, come join us at Guidewire!

At Guidewire, we make software that offers Property and Casualty (P&C) Insurance companies the tools to take care of their customers when they need it the most, whether that’s a time of crisis, a natural disaster, an accident, or exposure to cyber risks. We build the core applications that insurance companies use to sell and underwrite policies, settle claims, and bill their customers. We also have a portfolio of innovative products serving the needs of P&C insurance companies in areas such as data management, digital online portals, and predictive analytics. We serve hundreds of insurance providers all over the world, helping them handle billions of dollars of business.

We are proud to be voted a “Top 3” employer on Glassdoor by our own employees and positioned as a market leader by industry experts like Gartner. We have a fun work environment and a culture that lives by our core values of integrity, rationality, and collegiality.

We’re searching for people who are as passionate about working together to deliver quality products and support as we are. Join us and enjoy a career where you can make an impact. You’ll be inspired by those around you, and you’ll be trusted and empowered to go further.

The Application Support team is part of the Guidewire Global Support organization, delivering 24x7 service to customers who are using Guidewire software both in the Guidewire Cloud and on-premise.

As a Data Application Support Engineer you will learn everything there is to know about Guidewire’s Data products, and you’ll communicate and share that knowledge with Guidewire’s internal and external customers.

Job Description

Essential Duties and Responsibilities

A Guidewire Data Application Support Engineer is primarily responsible for providing technical support to Guidewire customers using Guidewire Data products.
Develop and maintain deep expertise in Guidewire’s suite of data products, such as DataHub and CDA.
Troubleshooting and resolution of incoming support cases. This includes identifying root causes of issues, providing workarounds or solutions, and collaborating with other teams to resolve complex problems.
Communicate with customers and ensure that they receive timely and accurate updates on the status of their support requests. This includes providing clear and concise technical explanations to non-technical customers, and managing customer expectations.
Create and maintain knowledge articles related to the resolution of customer-reported problems with Guidewire Data products.
Execute operational tasks to provision, rebuild, configure, and restore data services for customer cloud environments as needed.
Identify areas for service improvement, and collaborate with other teams to implement changes that improve the customer experience.
Manage and resolve incidents within contractual service level agreements (SLAs). This includes coordination with other teams and stakeholders, and providing timely updates to customers.
Share your technical knowledge and expertise with other team members, and contribute to the development of team training materials and processes.

Required Skills and Experience

Education and Work Experience

Bachelor’s Degree in Computer Science or related field preferred.
Strong knowledge of relational database theory, data mapping / modeling, data streaming and data analysis.
Knowledge of data-warehousing, Data Marts (including star and snowflake schemas) and BI.
Experience in database administration (PostgreSQL or Oracle).
Fluency in SQL scripting (PL/pgSQL and/or PL/SQL), including query optimization.
Knowledge of AWS cloud infrastructure and related services (AWS Workspace, S3 Bucket).
Experience with ETL tools such as SAP Business Objects, Informatica, SSIS.
Experience working with Cognos for report design and maintenance.
Experience with Apache Kafka, DataDog and Teamcity.
Experience with case management/ticketing systems such as Salesforce.com or JIRA.
Familiarity with Linux shell scripting, Java and XML.

Personal Qualities

Outstanding troubleshooting skills; ability to think critically and display an aptitude for problem solving.
Employ sound business judgment when making business decisions.
Use creative and innovative ways to solve problems.
Display a strong work ethic and do whatever it takes to get the job done.
Demonstrate strong follow-through and consistently keep commitments to customers and employees.
Display an understanding of the customer’s needs and a strong commitment to customer satisfaction.
Ensure that each and every customer is handled with a consummately professional attitude and the highest possible level of service.

Other Requirements

Ability to read, write, and speak fluent English.
5 Days work week, working hours 1pm - 10pm including Saturday & Sunday coverage (every 2-3 months)
You will be part of a team that works together at one of our company offices listed above (working remotely is not an option).
We provide 24x7 support to our customers, so we expect you to take turns with your teammates being on-call for after-hours production emergencies.
Travel – Expect occasional travel (less than 5%) to other Guidewire offices for training and team meetings.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

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Обов’язки:• Аналіз поточного Customer Journey - дослідження клієнтського шляху від потреби до повторної покупки, та розробка CJ карт;• Аналіз продуктового портфелю - дослідження поточного набору Big Data рішень та розробка рекомендацій по їх просуванню відповідно до поточного стану ринку;• Аналіз ринку та конкурентів — дослідження ринку Big Data рішень та суміжних ринків, вивчення конкурентного середовища та пошук нових можливостей для просування продуктів;• Стратегія та планування — розробка комунікаційної стратегії поточних та нових продуктів, створення комунікаційного плану;• Аналіз ефективності комунікацій продуктів — формування та моніторинг ключових показників ефективності (KPI) та підготовка звітів;• Робота з цільовою аудиторією — визначення та опис цільової аудиторії, формування карти ЦА, адаптація просування відповідно до її потреб.
Вимоги:• Досвід роботи з аналітичними, маркетинговими або Big Data продуктами;• Розуміння принципів маркетингу, стратегічного планування та позиціонування продуктів;• Досвід аналізу ринку, конкурентного середовища та цільової аудиторії;• Навички роботи з аналітичними інструментами та побудови KPI;• Вміння працювати з великими обсягами інформації, формувати звіти та рекомендації.
Чому Київстар:• Безбар'єрний простір – ми поважаємо твою особистість та допомагаємо зробити роботу приємною частиною життя; • Гнучкий робочий графік, гібридний формат роботи; • Базові соціальні переваги та навіть більше; • Можливості для розвитку та керування кар'єрою; • Програми ментальної і емоційної підтримки для тебе та твоєї родини; • Легка адаптація – ми поруч від першого дзвінка; • Піклування та підтримка Захисників: програми підтримки військових, ветеранів та їхніх родини «4.5.0. Нарешті вдома»; • Відповідальна компанія, що підтримує країну, суспільство та армію. Приєднуйся до Київстар, адже це твоя нова зона комфорту у професійному житті!Детальніше про нас:Наш кар’єрний блог --> https://medium.com/kyivstar-careersОстанні новини про нас шукайте в LinkedIn --> https://www.linkedin.com/company/kyivstar/
Якщо в тебе залишились питання, ти можеш задати їх нам, рекрутерам Київcтар. Переходь в наш телеграм канал «Кар'єра з Київстар» і давай спілкуватись!
Робота в Київстар, який входить до Групи компаній VEON, вимагає від нас дотримання високого рівня ділової етики, юридичних зобов'язань, наших цінностей та Кодексу поведінки групи VEON, політик і процедур Київстар. Ми прагнемо бути чесними та відкритими, що вимагає від нас діяти етично, правдиво і сумлінно. Ми розуміємо важливість захисту Ваших Персональних даних та прагнемо використовувати передовий досвід у цьому напрямку. Натиснувши кнопку «Відгукнутися на вакансію», Ви підтверджуєте, що Ви прочитали, зрозуміли та явно погодилися з нашою Політикою конфіденційності. More about us:Discover moments of awesomeness and our careers blog --> https://medium.com/kyivstar-careersFor the latest updates follow us on LinkedIn --> https://www.linkedin.com/company/kyivstar/ Working in Kyivstar (VEON Group) demands a high standard of business ethics, adherence to our legal obligations, our values and our Code of Conduct of VEON Group and supporting compliance policies and procedures. We strive to be truthful and transparent, which requires us to act ethically, honestly, and with integrity. We understand the importance of the protection of your Personal Data and are committed to using good practices in how we handle such Data. By clicking on \"Apply for this job\", you confirm that you have read, understood and explicitly agree to our Applicants Privacy Policy.","hiringOrganization":{"@type":"Organization","name":"Kyivstar","sameAs":"https://kyivstar.ua/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kyiv, Ukraine","addressCountry":"Ukraine","addressRegion":"Europe"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Manager - Commercial Data Products (Sales & Marketing)","datePosted":"2025-09-10","description":"

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

Work in close partnership with the business leadership team to execute the analytics agenda
Identify and incubate best-in-class external partners to drive delivery on strategic projects
Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

Using data analysis to make recommendations to senior leaders
Technical experience in roles in best-in-class analytics practices
Experience deploying new analytical approaches in a complex and highly matrixed organization
Savvy in usage of the analytics techniques to create business impacts

Are You Ready to Make It Happen at Mondelēz International?

In this role, you will have the opportunity to lead the development of a cutting-edge solution that aims to automate data pipelines, reporting and insights to standardize business performance across the US commercial organization to support Mondelez on out AI transformation enabling our 2030 vision. You will play an instrumental part in shaping and prioritizing the features of this solution in daily operations. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

Join our Mission to Lead the Future of Snacking. Make It With Pride.

How you will contribute:

Be a player & coach to combine people leadership, strategic partnership and data hands-on activities. Run a team of 5-10 off-shore contractors, support the creation of data models and write and run discovery-level SQL queries

Accountable for building Commercial Data Products, and ensure high data governance standards, including data completeness, harmonization, standardization, data quality, master data, data catalog, accessibility, usability and scalability

Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities, and delivers analysis outputs in accordance with customer needs and conforming to established standards.

As an investigator on the data & analytics team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools and producing data visualizations and reporting dashboards.

Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements.

Identify patterns and help the business react to changing business conditions,

Lead the team to perform root-cause analysis and continuous improvement.

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

7+ years of work experience in Data Analytics required 3+ years of work experience as a Leader in Data Analytics field required

Leader mindset – Leading technical teams to success through clear decision-making, accountability, and a hands-on approach

Experience in Data Product Management – contributing to Regional or Global Data Product Vision and Roadmap with the focus on consumers, partnering with Stakeholders, ensuring adoption and cost-efficiency.

Passion for building high-quality data products, using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.

Experience in Commercial Business domain, ideally in CPG or FMCG industry including industry-specific external data sources as POS Sellout Data, Nielsen Syndicated Data.

Experience with Master Data challenges between external and internal data sources.

Power BI, Tableau, and GCP (Google Cloud Platform) experience preferred. Experience with at least one cloud technology.

Knowledge of KPIs and scorecards required

Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

Fluent in English.

Experience with data governance, privacy regulations, and best practices is required.

Experience working with Agile using tools like Jira or ADO is required.

Education / Certifications:

Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field

Postgraduate degree in Data & Analytics, or a related field is a plus.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Analytics & Modelling

Analytics & Data Science","hiringOrganization":{"@type":"Organization","name":"Mondelēz International","sameAs":"https://www.mondelezinternational.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plant and Business Unit Head Office - Mumbai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Data Engineer to Schibsted - Subscriptions Data Products","datePosted":"2025-08-04","description":"

Our democracies depend on independent journalism - that’s our business!

Schibsted Media consists of some of the leading Nordic newspapers and media brands like VG, Aftenposten, Svenska Dagbladet, Aftonbladet, and many more. Now, Schibsted Media is since spring 2024 a new, independent company, and our ambition is to become the leading media destination in the Nordics.

Schibsted is already at the forefront of technological development. Schibsted Media will continue developing amazing products, strengthening authentic journalism, and tailor-made content for our users. Everyone who works at Schibsted Media is a part of this bigger mission; reaching and empowering millions of people in their daily lives through offerings with superior relevance and authenticity.

Shape the Future of Subscription Services with Data at Schibsted Media

At Schibsted, we are dedicated to driving innovation and excellent journalism across our leading news brands. Subscription Data Products team is at the forefront of this, leveraging data to enhance our subscription platforms used by over two million subscribers. Join us in our mission to transform media through data-driven insights and technology.

Who We Are:

Schibsted Media sets the standard in digital media and journalism in Scandinavia, with a robust portfolio including Svenska Dagbladet, VG, Aftonbladet, Aftenposten, and more. Our Subscription Data Products team is a key part of this success, working closely with brands to optimize subscription services and user engagement through advanced data solutions.

The team is centrally placed and we are responsible for maintaining data-pipelines and building data-products within the subscription domain. Our stakeholders are other Data & Insights teams within our company, PMs for components within our plattform and product owners.

Empowering decisions through data — that’s where you come in.

What You'll Do:

Develop and maintain scalable, reliable data pipelines that ensure data completeness, accuracy, and accessibility.\n
\nCollaborate closely with Analysts, Data Scientists, and Business Stakeholders to gather requirements and deliver high-quality data solutions.\n
\nDrive architectural and operational decisions across our data platform, with a focus on cloud-native tools and technologies such as AWS, Snowflake, and Airflow.\n
\nManage infrastructure using Terraform and follow infrastructure-as-code best practices to provision and maintain both Snowflake and AWS resources.\n
\nWork on event-driven data workflows and real-time data processing for domains such as data retention and GDPR compliance (e.g. using EventBridge, DynamoDB, S3, and Lambda).\n
\nContribute to our CI/CD setup and cloud optimization efforts using tools like GitHub Actions, Airflow, and Terraform.\n
\nEnsure high standards of data and resource governance, including naming conventions, ownership metadata, documentation, and lifecycle management.\n
\nUse your SQL and Python expertise to deliver robust and sustainable data products.

Who You Are:

\nHolder of a relevant degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
\n
\nExperienced data engineer with a solid understanding of data engineering principles, including ETL/ELT processes and data warehouse architecture.
\n
\nSkilled in SQL and proficient with programming languages like Python. Experience with Snowflake, dbt, and cloud services (AWS preferred) is highly desirable.
\n
\nA proactive, agile-minded professional who is versatile and can translate complex data concepts into clear solutions.
\n
\nInterested in working in a hybrid environment and contributing to a team that values knowledge sharing and continuous personal development.
\n
\nInterested in solving analytical problems through robust data-products
\n

Location:

This position is based in Stockholm or Oslo with a hybrid working setup, allowing flexibility to accommodate your lifestyle.

What’s in It for You:

Joining Schibsted means being part of one of the biggest data communities in the nordics, within an organization that prioritizes your personal and professional growth. Enjoy competitive employment terms, benefits, and ample opportunities for career progression within Schibsted Media.

Apply Today!

Don’t miss the chance to be a part of a pioneering team at a leading media organization. Submit your application and CV to continue your career journey with Schibsted Media.

Candidates are considered on a rolling basis, so early applications are encouraged.

","hiringOrganization":{"@type":"Organization","name":"Schibsted","sameAs":"https://schibsted.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm; Oslo","addressCountry":"Sweden","addressRegion":"Europe"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Client Solutions Program Mgr, RADAR Data Products","datePosted":"2025-08-05","description":"

Current employees and contingent workers click here to apply and search by the Job Posting Title.

Clear Channel Outdoor

Job Summary:

Clear Channel Outdoor has developed an industry-leading platform (RADAR) that provides data-driven audience insights and measurement for out-of-home (OOH) campaigns. We seek a versatile and technically savvy Client Solutions Program Manager to join the data products and research team. This role focuses on aligning client advertising challenges with the developing capabilities from the RADAR Data Analytics Suite and owning the data strategy for internal and external stakeholders from start to finish. The ideal candidate will bring a combination of technical expertise, program management experience, and customer-focused problem-solving.

Job Responsibilities:

Partner with clients and internal sales teams to understand advertising challenges and translate them into actionable solutions, with a focus on leveraging existing or developing RADAR data products or solutions.
Serve as a subject matter expert for advanced and developing data solutions from the RADAR data platform and be able to present RADAR to internal and external teams
Own programs from start to finish for RADAR data solutions that are “in development” running alpha or beta program testing for clients, ensuring timelines, goals, and deliverables are met through collaboration with various teams (sales, product, engineering, program management).
Become the expert on new capabilities and help establish and design operational procedures that help scale the number of campaigns supported.
Manage competing priorities and effectively balance short-term deliverables with long-term strategic initiatives.
Gain a deep understanding of RADAR’s data architecture and attribution methodologies, becoming the go-to resource for technical and strategic questions.
Use SQL and other tools to extract and analyze data for custom requests, delivering actionable insights for internal teams and external clients.
Partner with product and engineering teams to surface technical challenges and continuously enhance RADAR products.
Educate sales and client teams on RADAR capabilities through training, technical documentation, and presentations.

Job Qualifications:

Education and Certifications

Bachelor’s degree in business or related field preferred, or equivalent combination of education, training, experience, or military experience.

Work Experience

Minimum two (2) years of experience in a customer success or client-facing role working with data or advertising technology.
Experience with data analysis, SQL querying and executive dashboard design.
Experience with location, audience, conversion, or identity data with media and technology platforms.

Skills

Understanding of the principles of ad serving, analytics, programmatic, RTB / DSPs / SSPs / DMPs, CDPs, MDMs. Experience with Mode, PowerBI, or similar tools a plus
Understanding of sales engineering concepts and the ability to bridge the gap between product and client needs.
Strong technical acumen, and well-versed in JIRA, SalesForce, and Microsoft applications (i.e., Outlook, Word, Excel, PowerPoint, etc.).
Exceptional communication and presentation skills, tailored for both technical and non-technical audiences.
Understanding of AI tools like ChatGPT, Claude, and Perplexity

Competencies

Adaptability: Adapting in order to work effectively in ambiguous or changing situations, and with diverse individuals and groups.
Business Perspective: Using an understanding of business issues, processes and outcomes to enhance business performance.
Collaborating with Others: Working together with others in a cooperative and supportive manner to achieve shared goals.
Presentation: Preparing and delivering presentations in a variety of formal and informal settings, engaging the audience and managing the logistical components of the presentation such as the location and technology.
Problem Solving: Identifying problems and the solutions to them.

Physical Demands

The demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Ability to sit and/or stand at a desk for a minimum of 8 hours a day and complete tasks requiring repetitive use of hands;
Must have the ability to see written documents, computer screens and to adjust focus;
This job is performed in a temperature-controlled office environment.

Other Requirements

10-15% of time will be traveling to client meetings and industry events

The Targeted Salary Range for this New York position is $75,000 to $90,000 annually.
Hourly roles are overtime eligible; Operations roles are Productivity Pay eligible.
Bonus Eligible

Comprehensive Benefits package offerings, which includes:

Multiple Medical, Dental, and Vision Plans to choose from
Health Care Spending Accounts (HSA and FSA Options)
Dependent Care Flexible Spending Account
Optional Short Term and Long Term Disability Plans
Company Paid Employee Life and AD&D Insurance
Supplemental Life and AD&D Insurance (Employee/Spouse/Child)
Voluntary Benefits: Critical Illness, Accident, Identity Theft Protection, Legal Assistance, and Pet Insurance
Pre-Tax Commuter Spending Account
Employee Assistance Program (EAP)
401(k) Savings Plan with company match
Paid Time Off (Accrued Vacation and Sick Plans)
Discounted Gym Memberships
Professional Development Opportunities
Employee Resource Groups

Ultimate compensation will be based on several factors, including relevant experience, skills, scope and responsibility of the position, as well as pursuant to salary market benchmarks. This salary range is a good-faith estimate of the salary for this position.

EEOC statement
As an equal opportunity workplace, we believe that being your authentic self enables us to deliver innovative advertising solutions while enhancing our communities. Our goal is to foster an inclusive environment where we celebrate you as you are, and value your growth and passion.

Location

New York, NY: 200 Park Avenue, Suite 701, 10166

Position Type

Regular

The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.

Our organization participates in E-Verify. Click here to learn about E-Verify.

Current employees and contingent workers click here to apply and search by the Job Posting Title.

","hiringOrganization":{"@type":"Organization","name":"Clear Channel Outdoor","sameAs":"https://clearchanneloutdoor.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY ( 200 Park Avenue), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior Data Engineer, Customer-Facing Data Products","datePosted":"2025-08-13","description":"

\n\n\n\n

About the Role

The New York Times is looking for a senior data engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.

This is a hybrid role based in our New York City headquarters.

Responsibilities

Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies.
Ingest and organize structured and unstructured data for widespread reuse across patterns.
Implement mechanisms to ensure data quality, observability and governance best practices.
Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.
Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies.
Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review.
Experience collaborating with product and partners to meet shared goals.
Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks.
Experience with AWS and their service offerings and tools.
Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving.
Programming fluency with Python.
Experience using version control and CI/CD tools, such as Github and Drone.

Preferred Qualifications:

Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming.
Experience with SQL and building APIs with GoLang and Protobuf.
Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures.

REQ-018499

The annual base pay range for this role is between:$140,000—$155,000 USD

The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable \"Fair Chance\" laws.

For information about The New York Times' privacy practices for job applicants click here.

","hiringOrganization":{"@type":"Organization","name":"The New York Times","sameAs":"https://www.nytimes.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Product Manager, Data Products - (Quick Commerce)","datePosted":"2025-08-20","description":"

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for a Senior Product Manager to join our Quick Commerce Product team on our journey to always deliver amazing experiences.

Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.

You’ll help power our seller platform for large-scale supermarkets, helping transform the offline retail giants of the world into digital-first businesses. You'll bridge the physical and digital worlds, creating intuitive solutions that bring beloved local retailers directly to consumers' fingertips with our Quick Commerce platform in 70+ countries.

You'll own the product roadmap for the data products that power our seller platform, collaborating directly with teams based across the globe to shape how major retailers use our platform. We believe in giving our product people real ownership - you won't be spending most of your time writing detailed specs for data scientists and engineers to implement. Instead, you'll:

Spend time in actual supermarkets understanding how people work in them
Build a vision for how data products can transform traditional retail operations on a quick commerce platform
Focus on high-leverage product decisions that create impact across our platform
Ship improvements that measurably increase efficiency for large-scale retailers
Balance short-term wins with long-term platform evolution

Qualifications

What we’re looking for isn't just experience, it's a specific mindset:

You have genuine curiosity about retail operations and empathy for the people working in stores
You think in systems and understand how to use applied sciences, machine learning or AI solutions to fit into broader operational workflows
You have excellent product taste and can tell the difference between a feature that looks good in a spec and one that works brilliantly in reality
You're comfortable with ambiguity and can navigate between competing priorities
You communicate clearly and can articulate the \"why\" behind product decisions
You're equally excited about greenfield experimentation and scaling mature products

Having said that, 5+ years of product management experience is a must for this role. It ensures that you have gone through multiple iterations and phases of product building, which is crucial to succeed in this role.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

","hiringOrganization":{"@type":"Organization","name":"Delivery Hero","sameAs":"https://www.deliveryhero.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}}]}

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Business Analyst, INPAY Data Products Team

Head Data42 Data Management & Data Products

Sr. Product Manager – Tech, Data Products

Application Support Engineer III - Data Products

B2B Communication specialist (Big Data products)

Manager - Commercial Data Products (Sales & Marketing)

Data Engineer to Schibsted - Subscriptions Data Products

Client Solutions Program Mgr, RADAR Data Products

Senior Data Engineer, Customer-Facing Data Products

Senior Product Manager, Data Products - (Quick Commerce)