Team Lead, Product Management – Quantitative Data Solutions

Details

Bloomberg is building a comprehensive suite of normalized, linked and point-in-time datasets for quantitative, systematic and quantamental investment research. The portfolio includes company fundamentals, estimates, pricing, supply-chain relationships, industry and segment-level data, macroeconomic indicators, commodity supply and demand data, and alternative data through interoperable products designed for research and production workflows.

Bloomberg is establishing a new Macro and Commodity Research Data vertical and is seeking an experienced Product Manager Team Lead to define its strategy, build its product portfolio and lead its development.

The role requires a strong understanding of macroeconomic and commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio decisions and risk views. The successful candidate will also understand how AI, agentic research tools and modern data infrastructure are changing how clients discover, evaluate and consume financial data.

Responsibilities

• Define the strategy, positioning and multi-year roadmap for the Macro and Commodity Research Data vertical.
• Translate market developments and client needs into clear product priorities.
• Lead and develop a team of product managers and subject-matter experts, establishing responsibilities, decision processes, objectives and success measures.
• Build domain expertise across systematic macro, commodities and multi-asset research.
• Develop the commercial opportunity, including addressable markets, client segments, competitive positioning, packaging, pricing and monetisation models.
• Own product investment business cases by assessing client value, revenue potential, development cost, strategic differentiation and opportunity cost.
• Engage senior clients, researchers, portfolio managers, data scientists and data engineering teams to identify unmet needs, test product concepts and validate priorities.
• Translate client workflows into data product requirements covering point-in-time integrity, historical depth, metadata, identifiers, lineage, accessibility, interoperability and production use.
• Set measurable product and commercial outcomes, monitor adoption and revenue performance, and adjust the roadmap based on evidence.
• Manage product specification, prioritisation and delivery across data, engineering, sales, implementation, support and other Bloomberg teams.
• Ensure that individual products form a coherent portfolio with common design standards and clear connections across macro, commodities, pricing, reference data and related Bloomberg content.
• Represent the vertical internally and externally, helping sales teams explain its value and building credibility with quantitative and institutional clients.
• Stay current on financial markets, systematic investment research, data science, AI-enabled workflows and the competitive data landscape.

Requirements

• Significant experience in product management, investment research, quantitative research, financial data or a related field, with increasing commercial and leadership responsibility.
• Strong knowledge of macroeconomic or commodity markets, preferably including economic data, rates, foreign exchange, futures, energy, metals, agriculture, physical commodity markets or alternative data.
• Practical understanding of quantitative and systematic investment workflows, from data discovery and hypothesis formation through signal development, backtesting, portfolio construction and production use.
• Experience defining product strategy, evaluating market opportunities and making commercial trade-offs across pricing, packaging, investment and portfolio priorities.
• Experience building, managing or developing high-performing teams.
• Strong client-facing skills and the ability to convert complex or ambiguous client problems into clear product and business decisions.
• Ability to influence across a matrixed organisation and coordinate delivery among product, data, engineering, sales, implementation and support teams.
• Strong analytical and problem-solving skills, including the ability to use evidence and commercial reasoning to secure investment and management support.
• Familiarity with modern data platforms, APIs, cloud delivery and the ways clients use Python, R or similar tools in research and data-engineering workflows.
• Bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline.
• Python proficiency is valuable but is not the principal requirement. Candidates should be technically credible, able to interrogate data and comfortable working with engineers, data scientists and quantitative clients.

Bloomberg uses years of experience as a guide and will consider candidates who can demonstrate the leadership, domain expertise, product judgement and commercial capabilities required for the role.

Benefits

Benefits 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) match, life insurance and wellness programs.