Senior Data Management Professional - Supply Chain Data

Bloomberg runs on data. As a team, we leverage technology and industry-leading data to model the intersections between companies. Our equity research driven approach uses industry and company-specific data, including fundamentals, to produce estimates and quantify upstream and downstream relationships for a company.

Our insights provide intelligence serving a variety of client-needs: for the investment professional, our intel provides an edge in pinpointing latent supplier disruptions and/or budgetary constraints within the customer base. For businesses, our product enables strategic decision making around purchasing and production costs, procurement expenditures, and potential exposures to customer/supplier or supply chain risks. The scope, magnitude, and depth of insight allows professionals to detect potential trade signals emanating from deep within a company’s supply chain, informing their current or prospective portfolio holdings, and allows businesses useful information to better assess their customers, suppliers, and partnerships.

The Role:

As a Data Management Professional on the Supply Chain Data team, you understand our customers’ needs and develop strategies to optimize the value of data for our customers, improve data operations, and create business opportunities. You will be key in setting the technical strategy for our data product, solving problems, and devising solutions for data challenges. To support our data coverage expansion, quality, interoperability, and timeliness goals; you will work closely with Engineering in the creation of data processing and quality workflows to optimize the use of our workforce.

We’Ll Trust You To:

• Develop interconnected data models that enable analysis across datasets
• Analyze internal processes to find opportunities for improvement, as well as devise and implement innovative solutions
• Understand our client needs and develop proactive data quality strategies that ensure data is fit for purpose
• Process engineer efficient data workflows utilizing programming, machine learning and/or human-in-the-loop approaches of structured and unstructured data
• Work closely with Engineering to ensure the data architecture design of our new workflow provides solutions that are fit for purpose of our workforce and client needs
• Collaborate extensively with Data Product Owner, DML, Engineering, and Terminal and Enterprise Product to build the team’s vision and strategy
• Apply data visualization skills to report on results of on-going operations and projects
• Effectively manage projects, meet deliverables, and lead the execution of tasks both independently and collaboratively
• Be creative and flexible to problem solving, leveraging your strong data analysis skills.
• Communicate the data strategy and vision
• Conduct statistical analyses to uncover insights that drive customer value, enhance data operations, and support business opportunities
• Create and maintain comprehensive documentation of data processes, workflows, and system architecture to ensure clarity, consistency, and support for ongoing Supply Chain initiatives

You’Ll Need To Have:

• A bachelor's degree, preferably in Computer Science, Finance, Economics, Accounting, Mathematics, Statistics, or Business or in a related field of study
• Proficient in Python programming and scripting in a production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Knowledge of data management methodologies such as modeling and data quality principles
• Strong understanding of the wide-ranging impact of financial and supply chain data and how market players use this data
• Proven ability to establish strong credibility and build influential relationships with multiple internal and external clients and partners
• Strong ability to isolate issues and resolve problems logically in order to modify and enhance processes to fit user needs
• Strong project management and data analysis skills: strategic thinking, setting deadlines, and leading the execution of tasks both independently and collectively with a group
• Excellent written and verbal communication skills, especially when explaining the data strategy and technical processes and solutions to business partners and management
• Strong documentation skills to clearly and accurately document data processes, workflows, and system architecture to support data quality and data governance

We’D Love To See:

• Master’s degree in relevant field and/or CFA designation
• Project management skills and/or experience, preferred (CAPM, PMP and/or CSM)
• Certification in Data Management (CDMP, DAMA)
• Experience with SQL

Does this sound like you?

Apply if you think we're a good match. We will be in touch to let you know what the next steps are.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.