Product Manager - Funds

Details

Bloomberg is seeking a Funds Product Manager to help define and execute the product strategy for public funds. The role focuses on building a foundational data layer that supports fund selection, due diligence, portfolio construction, benchmarking, risk analysis, distribution, and total portfolio analysis across Bloomberg Terminal, Enterprise products, and portfolio and risk solutions.

Responsibilities

• Define and execute the product strategy for Bloomberg’s public funds.
• Identify and prioritize critical data gaps across funds, share classes, managers, holdings, benchmarks, fees, and flows.
• Bring initiatives around fund taxonomy, identifiers, entity linkage, classifications, search, and discoverability to market.
• Partner with Engineering and Data teams on scalable data models and APIs.
• Build and maintain a roadmap with phased MVPs that balance client impact, strategic fit, time to market, data availability, and technical complexity.
• Ensure fund data is usable across workflows including fund research, screening, due diligence, portfolio construction, benchmarking, performance attribution, risk analytics, and distribution.
• Collaborate across Product, Engineering, Data, Sales, and Operations to deliver solutions for asset management, asset owner, and fund distribution users.
• Define and monitor success metrics related to data coverage, freshness, accuracy, linkage quality, discoverability, adoption, workflow engagement, and business impact.

Requirements

• 7+ years of product management or relevant experience in public funds, asset management, financial data, or investment workflow products.
• Strong knowledge of asset owner and fund investor workflows, including screening, fund selection, benchmarking, due diligence, portfolio construction, monitoring, and manager evaluation.
• Understanding of mutual fund and ETF workflows, including research, comparison, portfolio construction, exposure analysis, performance evaluation, risk analysis, and ongoing monitoring.
• Experience working with complex datasets and sourcing, mastering, normalizing, and linking data across funds, share classes, managers, securities, benchmarks, holdings, and corporate entities.
• Familiarity with fund structures, domiciles, regulatory classifications, share-class attributes, fees, distributions, holdings, assets under management, flows, performance metrics, and risk concepts.
• Experience building or managing data products, platforms, screening tools, or APIs used by investment professionals, wealth managers, distributors, or enterprise clients.
• Ability to translate ambiguous user problems into clear product requirements, phased roadmaps, and measurable outcomes.
• Strong cross-functional collaboration and communication skills.

Preferred Qualifications

• Experience building fund intelligence, holdings, flows, performance, benchmarking, risk, or portfolio analytics products.
• Knowledge of taxonomy design, fund classification, entity resolution, metadata management, or search and discoverability in financial data products.
• Familiarity with regulatory and industry data sources such as fund filings, prospectuses, factsheets, holdings disclosures, and standardized fund identifiers.
• Experience supporting workflows spanning funds, individual securities, model portfolios, and separately managed accounts.
• Understanding of the public funds data, index, analytics, and software vendor landscape.
• Familiarity with fund distribution, product governance, suitability, and regulatory reporting workflows.
• Experience evaluating build, buy, contribute, and partner decisions for strategic data capabilities.

Benefits

Benefits and total rewards 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. The 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.