Dir, P3, Data & Analytics Eng III : Job Level - Director

We're seeking someone to join our CEDAR Data Warehouse team as a Data & Analytics Engineering Lead in TRGC to manage the development of data pipelines / ETL into our on-prem data warehouse and into our new Cloud data warehouse.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at Director level, which is part of the job family responsible for [RECRUITER to add standard JA Job Family Description based on Job Profile].

{C Standard Description of the Firm} Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

{D Part 1: Scope of Role What you'll do pre-set content based on tier framework + role-specific bullets}

What you'll do in the role:
- Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
- Design, develop, and optimize complex data pipelines and ETL processes.
- Drive innovation in data engineering by exploring new tools and techniques.
- Optimize data storage, processing, and retrieval for performance and cost efficiency.
- Lead cross-functional teams in solving complex data problems and challenges.
- Act as a subject matter expert in data architecture and engineering domains.
- Collaborate with stakeholders to understand business requirements and drive data strategy.
- Contribute to the development of the data engineering roadmap and vision.
- Ensure compliance with data security, privacy, and regulatory requirements.
- Foster a collaborative and inclusive team environment to drive innovation and high performance. {D Part 2: Scope of Role What you'll bring pre-set content based on tier framework + role-specific bullets}

>What you'll bring to the role:
- Ability to effectively manage multiple functions or guide junior staff and initiatives.
- Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
- Extensive experience in building and optimizing data pipelines and architectures.
- Proficiency in data warehousing and data solutions like Postgres, DB2, Snowflake, and Databricks.
- Strong expertise in data modelling, data cleaning, and data transformation techniques.
- Excellent knowledge of data quality and governance best practices.
- Ability to work on multiple projects simultaneously and prioritize effectively.
- Strong communication and stakeholder management skills.
- Proven track record of designing and implementing complex data solutions.
- Proven ability to oversee end-to-end data processes from ingestion to consumption.
- Strong background in data governance, metadata management, and data lineage.
- Demonstrated success in aligning data strategies with business objectives.
- Excellent leadership and decision-making skills to drive team performance.
- Effective communication with stakeholders to define project requirements and priorities.
- At least 6 years' relevant experience would generally be expected to find the skills required for this role.

{E What you can expect from Morgan Stanley} [RECRUITER to add standard global paragraph]

{F Standard Description of location GCs/Paris/Frankfurt only} [RECRUITER to insert where applicable]

{G Regional insertions e.g., Equal Opportunities Statement, Wage transparency (if required), Regulatory etc.} [RECRUITER to insert standard disclosures for location and division where applicable] {D Part 2: Scope of Role What you'll bring pre-set content based on tier framework + role-specific bullets}

What you'll bring to the role:
- Ability to effectively manage multiple functions or guide junior staff and initiatives.
- Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
- Extensive experience in building and optimizing data pipelines and architectures with ETL and orchestration tools like Informatica and Airflow.
- Proficiency in data warehousing and data solutions like Postgres, DB2, Snowflake, and Databricks.
- Strong expertise in data modelling, data cleaning, and data transformation techniques.
- Excellent knowledge of data quality and governance best practices.
- Ability to work on multiple projects simultaneously and prioritize effectively.
- Strong communication and stakeholder management skills.
- Proven track record of designing and implementing complex data solutions.
- Proven ability to oversee end-to-end data processes from ingestion to consumption.
- Strong background in data governance, metadata management, and data lineage.
- Demonstrated success in aligning data strategies with business objectives.
- Excellent leadership and decision-making skills to drive team performance.
- Effective communication with stakeholders to define project requirements and priorities.
- At least 7 years' relevant experience would generally be expected to find the skills required for this role.

{E What you can expect from Morgan Stanley} [RECRUITER to add standard global paragraph]

{F Standard Description of location GCs/Paris/Frankfurt only} [RECRUITER to insert where applicable]

{G Regional insertions e.g., Equal Opportunities Statement, Wage transparency (if required), Regulatory etc.} [RECRUITER to insert standard disclosures for location and division where applicable]

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.