Product Manager, Alternative Data - Data Feeds

Details

The Bloomberg Alternative Data team is a fast-growing product group building data and analytics for company research and intelligence. The team is seeking a Product Manager to own the end-to-end lifecycle of alternative data feed products, including product strategy, development, data quality, operational reliability, and commercial outcomes.

Responsibilities

• Define, prioritize, and communicate product strategy and roadmaps for alternative data feed offerings.
• Identify new product opportunities, evaluate whitespace, and translate business goals into technical roadmaps in partnership with engineering.
• Share accountability for revenue and growth metrics, and support pricing, packaging, and competitive positioning decisions with go-to-market teams.
• Understand the workflows and objectives of fundamental, quantitative, and systematic investors using alternative data for signal generation, backtesting, and investment research.
• Own product-side accountability for feed accuracy, stability, and delivery consistency.
• Partner with engineering and data science on data quality and QA frameworks, including automated QA systems, outlier detection, and coverage checks.
• Own incident communication and data issue escalation workflows.
• Collaborate with sales, marketing, customer support, engineering, and data science to launch products and drive client engagement.
• Serve as product owner for an Agile engineering team by setting priorities, balancing functional and technical requirements, managing the backlog, and writing implementation-ready PRDs.
• Define and monitor metrics for engagement, data health, and business impact.
• Manage third-party data vendor relationships and evaluate new data partnerships for coverage, quality, and licensing implications.

Requirements

• 5+ years of product experience with data-intensive, data feed, or B2B data products.
• Deep understanding of alternative data use cases and institutional investor workflows, including the use of transaction-level, consumer, and B2B spend data for signal testing, backtesting, and alpha generation.
• Hands-on experience working with data, including data quality, QA practices, and the operational realities of delivering high-reliability data products.
• Demonstrated commercial accountability and direct exposure to revenue, ARR, or P&L outcomes for an owned product.
• Experience writing implementation-ready PRDs and managing complex delivery processes across multiple teams.
• Experience working directly with data engineers, data scientists, and cross-functional stakeholders in large organizations.
• Strong client-facing communication skills, including comfort participating in sales calls and managing client escalations.
• Strong organizational skills and the ability to manage multiple concurrent initiatives while meeting delivery timelines.

Preferred Qualifications

• Familiarity with Bloomberg data products, the Bloomberg Terminal, or enterprise data delivery platforms such as Snowflake and Databricks.
• Exposure to data delivery infrastructure, including APIs, flat files, cloud storage, and portal-based delivery.
• Working knowledge of applying alternative data to identify investment opportunities or answer investment research questions.
• Experience managing or partnering on third-party data vendor relationships.
• Experience executing in large-company environments and collaborating across multiple stakeholders to bring scaled products to market.

Compensation and Benefits

• Salary range: $140,000–$295,000 USD annually, plus benefits and bonus.
• Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs.
• Actual compensation may vary based on geographic location, work experience, market conditions, education or training, and skill level.