Team Lead, Private Markets Content – Enterprise Data Product

at Bloomberg
📍 New York City, United States
USD 180,000-350,000 per year
SENIOR
✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences

Python @ 4 SQL @ 4 R @ 4 Data Science @ 7 Leadership @ 8 Communication @ 4 Product Management @ 8 API @ 4 Reporting @ 4 Due Diligence @ 4 .NET @ 4 AI @ 4 Performance Analysis @ 4

Details

Bloomberg Enterprise Data is fast paced, innovative, and growing. We partner closely with clients to understand their businesses, data requirements, and financial technology needs. Our datasets, delivery channels, APIs, and cloud-enabled solutions enable clients to access the data they need in formats that support their workflows.

Private markets are a core growth area for Enterprise Data. Our private markets data solutions complement Bloomberg’s public markets data across reference, pricing, regulatory, risk, and sustainable finance products. These capabilities serve buy-side asset managers, asset owners, allocators, hedge funds, sell-side institutions, and service providers.

Responsibilities

  • Lead the global evolution of Bloomberg’s private markets data business, defining and executing strategic roadmaps for private markets data products.
  • Inspire, mentor, and develop a team of product managers to apply data excellence, domain expertise, and enterprise customer focus.
  • Drive growth by 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.
  • Understand and manage 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 workflows.
  • Apply 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.
  • Build deep relationships with strategic clients to drive co-innovation and partnership, and represent Bloomberg’s private markets data strategy to stakeholders.

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 (GPs, LPs, asset owners, allocators, consultants, fund administrators, service providers).
  • Understanding of private markets workflows: 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, with the ability to translate these concepts into practical financial data products and client workflows.
  • Experience defining and executing product strategies that deliver 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 and ability to articulate complex data, technology, and private markets concepts to senior stakeholders.
  • Ability to travel globally as needed to engage with teams, clients, and industry partners.

Preferred

  • Passion for AI innovation and intelligent, agentic data systems.
  • Understanding of cross-asset financial instruments and entities data models and how private markets data connects with public markets, portfolio analytics, risk, regulation, and sustainability workflows.
  • Exposure to client workflows across investment management, portfolio construction, risk, valuation, regulation, reporting, or sustainability.
  • Experience with Python, R, SQL, or other data science and analytics tools.
  • Experience with cloud-based data delivery, data marketplaces, or modern enterprise data platforms.

Compensation & Benefits

  • Salary Range: 180,000 - 350,000 USD Annual + Benefits + Bonus.
  • 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. (Company does not provide benefits directly to contingent workers/contractors and interns.)

Location

  • New York (role location listed as New York)

How to Apply