Senior Data Management Professional - Data Product Owner - Entities
at Bloomberg
USD 110,000-190,000 per year
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
Compliance @ 4
Agile @ 4
- 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.
Details
Bloomberg's Private Companies Data team is responsible for the private company data model that underpins research, investment analysis, compliance, and due diligence workflows. This role is focused on leading the strategy, development, and integration of Bloomberg’s Private Companies data products with non-foundational datasets (Alternative Data, ESG, Financials, News, and other emerging sources). The Product Owner will own the roadmap, prioritize integrations, partner with engineering and data teams, and ensure the products scale and meet client needs.
Responsibilities
- Own end-to-end strategy and roadmap for Private Companies data products with emphasis on integrating non-foundational datasets.
- Define the vision for a fit-for-purpose private company data model and align it with client workflows in research, investment, and compliance.
- Research and validate use cases across private markets; identify opportunities to connect company data with alternative data, ESG, financials, news, and emerging datasets.
- Lead discovery and prioritization activities to evaluate dataset needs (structure, coverage, transparency, 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; comfortable 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 / Nice to Have
- 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 may include merit increases, incentive compensation (exempt roles), paid holidays, paid time off, medical, dental, vision, short and long term disability, 401(k) + match, life insurance, and wellness programs. (The company does not provide benefits directly to contingent workers/contractors and interns.)
Additional Info
- Location: New York.
- Business Area: Data.
- Ref #: 10052689.
- Application link provided in the original posting.
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