Senior Data Management Professional - Data Product Owner - Holdings

Details

Bloomberg runs on data. Its products bring together data, context, news, and analytics to help clients understand global markets and make informed decisions. The Data team turns complex information into trusted, connected products that power workflows across Bloomberg.

The Data Product Owner will shape the strategy and evolution of Bloomberg’s Holdings data product. Holdings data supports questions about ownership, portfolios, and investment exposure. The role will determine how the product should evolve by balancing current high-priority use cases with opportunities to expand its future value.

The position will bring together client feedback, product usage, market developments, competitive insight, and expertise from Data, Product, and Engineering to set product strategy, define measurable outcomes, prioritize investment, and guide a roadmap from idea through delivery. The role will influence the Holdings dataset and the ownership, portfolio, exposure, risk, and regulatory analytics it can enable across Bloomberg.

Responsibilities

• Shape the evolution of Bloomberg’s Holdings data product, identifying improvements to coverage, quality, completeness, connectivity, and usability that can create client and product value.
• Define product strategy, outcomes, and the roadmap using evidence to determine where Holdings should improve, expand, or differentiate.
• Make prioritization and tradeoff decisions.
• Deepen how Holdings supports ownership, portfolio, and exposure analytics, including evaluating how evolving instruments, derivatives, and direct and indirect ownership structures should be represented.
• Identify new opportunities for Holdings data across ownership analytics, portfolio analysis, exposure, risk, and regulatory use cases.
• Use client feedback, usage data, market developments, and competitive intelligence to test assumptions and determine where to invest.
• Lead the roadmap from strategy through delivery.
• Partner with Product, Data, Engineering, and domain experts to manage dependencies, address risks, measure outcomes, and communicate decisions and progress.

Requirements

• 3+ years of professional experience in data product management, product ownership, data strategy, or a related field, or equivalent experience.
• Experience with holdings, ownership, portfolio, security master, or other investment data.
• Experience defining product or data strategy and translating business or client needs into priorities, requirements, and measurable outcomes.
• Experience working with engineers and technical partners, including discussing technical concepts and evaluating product and design tradeoffs.
• Experience using data, client insight, and structured problem solving to make decisions and improve products, processes, or workflows.
• Ability to explain complex data and product decisions clearly to technical and non-technical audiences.
• Experience aligning cross-functional partners around priorities and moving initiatives from strategy through delivery.

Preferred Qualifications

• Familiarity with institutional investment workflows, including portfolio, exposure, risk, or regulatory analytics.
• Experience defining or evolving data products that serve multiple downstream products, analytics, or client workflows.

Compensation and Benefits

• Salary range: $110,000–$190,000 USD annually, plus benefits and bonus.
• Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.
• Actual compensation may vary based on geographic location, work experience, market conditions, education or training, and skill level.