Senior Product Manager - Market Data Feeds

Responsibilities

• Define and own the product roadmap for Market Data Feeds, balancing feed quality, coverage, and commercial ROI.
• Set measurable success criteria and hold delivery teams accountable for outcomes.
• Own feed builds end-to-end, from vendor sourcing and data modeling through production delivery.
• Develop solutions to strengthen market data operations and integrate Market and Reference Data across products and services.
• Identify gaps in market data coverage and partner with clients, sales, and data operations on sourcing opportunities.
• Maintain knowledge of vendor licensing terms and entitlement workflows, including contractual constraints and cost implications.
• Partner with licensing and finance to evaluate sourcing decisions against profitability.
• Provide product oversight on licensing transitions, including direct licensing migrations.
• Contribute to the evolution of the Security Master and connect Market Data inputs to richer information for client and internal product teams.
• Work with GTM, Sales, and Support to communicate Market Data changes, dataset capabilities, feed status, and onboarding timelines.
• Use product and client insights to improve client experience and identify new opportunities.

Requirements

• Extensive relevant work experience and education demonstrating proficiency in product management and user workflows.
• Deep familiarity with Market Data vendors such as Bloomberg, LSEG, S&P, and Morningstar, and with sourcing and implementing their content.
• Expertise in market data processing, entitlement workflows, security mastering, financial products, and the financial data ecosystem.
• Experience building and launching commercial data products within financial services.
• Understanding of data governance practices.
• Ability to work cross-functionally with engineering, operations, and GTM teams.
• Practical knowledge of agile and lean practices, with the ability to guide teams toward appropriate processes.
• Ability to select suitable tools and techniques to accomplish objectives.
• Knowledge of SQL and the ability to query data to answer product questions.
• Experience using AI tools to drive outcomes as a product manager.
• Leadership, urgency, accountability, initiative, ingenuity, resourcefulness, problem-solving ability, and comfort working within ambiguity.
• Ability to partner with technical and non-technical stakeholders in a cross-functional environment.

Nice to Have

• Experience with Python and Databricks.

Values

• Act Like an Owner: Think and operate with intention, purpose, and care. Own outcomes.
• Build Together: Collaborate to unlock the best solutions and deliver lasting value.
• Champion Our Clients: Exceed client expectations.
• Drive Innovation: Be bold and unconstrained in problem solving.
• Embrace Learning: Engage the community, broaden perspectives, and bring a growth mindset.