Team Lead, Private Markets Content – Enterprise Data Product
at Bloomberg
USD 180,000-350,000 per year
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.
AI @ 4
API @ 4
Communication @ 6
Data Science @ 7
Due Diligence @ 4
Leadership @ 8
Mentoring
Performance Analysis @ 4
Product Management @ 8
Reporting @ 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 Enterprise Data is seeking a Team Lead to drive the global evolution of Bloomberg’s private markets data business. This is a senior leadership role at the intersection of financial data, product strategy, and AI-enabled innovation.
Responsibilities
- Lead innovation by inspiring, mentoring, and developing a team that applies data excellence, domain expertise, and enterprise customer focus.
- Drive growth by defining a forward-looking product strategy, prioritising high-impact initiatives, and executing with agility.
- Develop and expand datasets across private equity, private credit, infrastructure, real estate, and related private markets segments.
- Own the private markets data lifecycle: sourcing, acquisition, extraction, normalisation, enrichment, quality control, delivery, and client integration.
- Partner with clients to understand needs across investment, due diligence, portfolio monitoring, valuation, risk, reporting, benchmarking, sustainability, and AI-driven workflow requirements.
- Use data-driven intelligence to measure product performance, identify coverage and quality gaps, uncover client insights, and guide roadmap decisions.
- Collaborate across Product, Engineering, Data, Sales, and Client Solutions to deliver commercial and technical innovation aligned with market needs.
- Build deep relationships with strategic clients, driving co-innovation and partnership.
- Represent Bloomberg’s private markets data strategy and influence stakeholders to support commercial growth.
Requirements
- 10+ years of experience in product management within financial data, analytics, investment technology, or enterprise data platforms, including 5+ years in a leadership capacity.
- Proven experience in product management (or equivalent), particularly in private markets data, alternative assets, institutional investment workflows, or financial data products.
- Deep understanding of private markets asset classes (private equity, private credit, infrastructure, real estate), with expertise in at least two areas.
- Strong knowledge of private markets client cohorts, including GPs, LPs, asset owners, allocators, consultants, fund administrators, and service providers.
- Understanding of private markets workflows such as due diligence, manager selection, portfolio monitoring, valuations, performance analysis, benchmarking, exposure analysis, capital flows, and reporting.
- Strong grasp of data science, AI, automation, and emerging agentic technologies, translating these into practical financial data products and client workflows.
- Experience defining and executing product strategies delivering measurable commercial, client, or operational outcomes.
- Understanding of enterprise data delivery models including APIs, data feeds, cloud delivery, data platforms, metadata, identifiers, entitlements, and data quality frameworks.
- Excellent communication skills to articulate complex data, technology, and private markets concepts to senior stakeholders.
- Ability to travel globally as needed.
Benefits
- Bloomberg offers comprehensive and generous benefits, which 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 various wellness programs.
- The company does not provide benefits directly to contingent workers/contractors and interns.
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