Senior Data Management Professional - Data Product Owner - Entities

at Bloomberg

📍 Princeton, United States

USD 110,000-190,000 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
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.

Communication @ 7 Prioritization @ 4 Due Diligence @ 4 .NET @ 4 Compliance @ 4 Agile @ 4

Details

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.

The Private Companies Data team is responsible for Bloomberg’s private company data model — an essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to complementary datasets such as alternative data, ESG disclosures, financials, news, and other non-foundational sources. Private company data plays a critical role in research, investment analysis, compliance, and due diligence.

Responsibilities

Own the end-to-end strategy and roadmap for Bloomberg’s Private Companies data products, focusing on integrating non-foundational datasets (Alternative Data, ESG metrics, Financials, News, etc.).
Define the vision of a fit-for-purpose private company data model and align it with evolving client workflows in research, investment, and compliance.
Research and validate use cases across private markets and identify opportunities to connect company data with alternative data, ESG, financials, news, and emerging datasets.
Lead discovery and prioritization activities to evaluate dataset needs — including structure, coverage, transparency, and delivery.
Translate client and stakeholder feedback into actionable requirements and define acceptance criteria for integrations and enhancements.
Partner with internal stakeholders to design data linkages and delivery models that maximize usability across products.
Monitor data product health metrics such as completeness, coverage, linkages, and workflow adoption.
Champion integrated private company data across Bloomberg and drive awareness of its role in client-facing workflows.
Stay current on trends in private markets, data integration, and emerging non-traditional datasets.

Requirements

4+ years of experience working within the domain of financial or private markets data.
Strong domain knowledge of private company research workflows and how private data is created, maintained, and consumed.
Proven experience as a Product Owner or Product Manager for data platforms or large-scale datasets.
Ability to define a product vision and communicate it clearly across technical and non-technical stakeholders.
Experience developing product roadmaps, managing backlogs, and leading cross-functional delivery in Agile or hybrid environments.
Data-driven mindset with comfort using metrics and KPIs to assess product performance and guide prioritization.
Strong collaboration and communication skills; experience working across Product, Engineering, and Data teams.

Preferred (We’d Love to See)

Awareness of emerging trends in private markets, including alternative data and ESG measurement.
Familiarity with financial workflows that rely on integrated private company data (due diligence, investment analysis, regulatory compliance).
Understanding of third-party data providers and strategies for integration.
Experience navigating ambiguity in complex, evolving markets.

Compensation & Benefits

Salary Range: 110,000 - 190,000 USD Annual + 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 geographic location, work experience, market conditions, education/training and skill level.
Benefits 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 wellness programs. (The Company does not provide benefits directly to contingent workers/contractors and interns.)