Senior Data Management Professional - Data Product Owner - Holdings

Bloomberg•New York, NY

1d•$110,000 - $190,000

About The Position

Bloomberg is seeking a Data Product Owner to shape the strategy and evolution of its Holdings data product. Holdings data supports questions about ownership, portfolios, and investment exposure. The role focuses on evolving the product to address priority use cases while expanding its future value. The Data Product Owner will combine client feedback, product usage, market developments, competitive insight, and expertise across Data, Product, and Engineering to set product strategy, define measurable outcomes, prioritize investment, and guide a roadmap from idea through delivery. The work may also influence ownership, portfolio, exposure, risk, and regulatory analytics enabled by Bloomberg data.

Requirements

At least 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, 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.

Nice To Haves

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.

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 roadmap, using evidence to determine where Holdings should improve, expand, or differentiate and making prioritization and tradeoff decisions.
Deepen support for ownership, portfolio, and exposure analytics, including evaluating the representation of evolving instruments, derivatives, and direct and indirect ownership structures.
Identify 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 guide investment decisions.
Lead the roadmap from strategy through delivery, partnering across Product, Data, Engineering, and domain experts to manage dependencies, address risks, measure outcomes, and communicate decisions and progress.