Product Manager - Funds

Bloomberg•Princeton, FL

About The Position

Bloomberg is seeking a Funds Product Manager to help define and execute the product strategy for public funds. The role supports a foundational data layer that makes trusted, connected, and discoverable fund data available across Bloomberg Terminal, Enterprise products, and portfolio and risk solutions. The work includes strengthening coverage of mutual funds, exchange-traded funds, closed-end funds, and other publicly offered investment vehicles; improving transparency into holdings and exposures; refining fund taxonomy and classification; and connecting funds, share classes, managers, securities, benchmarks, flows, fees, risk, and performance data to support client workflows. The Product Manager will identify data gaps, develop and manage a phased roadmap, and bring initiatives involving taxonomy, identifiers, entity linkage, classifications, search, and discoverability to market. The role partners closely with Engineering and Data teams on scalable data models and APIs, and collaborates across Product, Engineering, Data, Sales, and Operations. Success includes making fund data useful across research, screening, due diligence, portfolio construction, benchmarking, performance attribution, risk analytics, and distribution, while monitoring data quality, 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, and of their relationships with asset managers, consultants, distributors, and other market participants.
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 challenges in 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.

Nice To Haves

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.

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 to market initiatives involving fund taxonomy, identifiers, entity linkage, classifications, search, and discoverability.
Partner with Engineering and Data teams on scalable data models and APIs.
Build and maintain a clear roadmap with phased MVPs that balance client impact, strategic fit, time to market, data availability, and technical complexity.
Ensure funds are usable across Bloomberg 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 existing Bloomberg clients and attract new asset management, asset owner, and fund distribution users.
Define and monitor success metrics tied to data coverage, freshness, accuracy, linkage quality, discoverability, adoption, workflow engagement, and business impact.