Senior Data Management Professional - Data Product Owner - Holdings

at Bloomberg

📍 Princeton, United States

USD 110,000-190,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Product Management @ 6 Security @ 4

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 organization 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 priority use cases with opportunities to expand its future value.

The position involves bringing 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 by 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.
Make prioritization and trade-off decisions.
Deepen support for 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

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, including discussing technical concepts and evaluating product and design trade-offs.
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.

Benefits

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.