Senior Data Management Professional - Supply Chain Data

Description & Requirements

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:

• 4+ years of professional work experience in data management or data engineering
• A bachelor's degree, preferably in Data Science, Computer Science, Finance, Economics, Accounting, 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
• Experienced in applying data management methodologies, including data modeling and data quality principles
• Strong understanding of the impact of financial and supply chain data and how market players use this data
• Proven ability to foster strong relationships and credibility with partners while applying logical problem solving to improve and adapt processes for users
• 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 communication, storytelling, and presentation skills, enabling clear explanation of data technical solutions to business stakeholders 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
• Project management experience with Jira and Agile methodologies
• Certification in Data Management (CDMP, DAMA)
• Familiarity with version control (Git) and collaborative platforms (GitHub)
• Familiarity with both Bloomberg technologies, and third party analytic tools (e.g., Trino, Apache Superset)

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.

Salary Range = 00 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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