Product Manager, Alternative Data - Analytics

Details

The Bloomberg Alternative Data team builds data and analytics products for company research and intelligence. This role will create and own proprietary analytics that translate alternative datasets into actionable insights for investors, working at the intersection of data science, finance, and product.

Responsibilities

• Drive the strategy, roadmap, and requirements for alternative data in company research workflow applications.
• Own the product vision, roadmap, and execution for proprietary alternative data analytics.
• Partner with data scientists and engineers to define analytical methodologies.
• Translate complex analytical concepts into intuitive, client-facing product experiences embedded in Bloomberg workflows.
• Understand users' businesses, workflows, and objectives to ensure analytics address real investment questions.
• Lead cross-functional collaboration across product, engineering, data science, research, sales, and go-to-market teams.
• Define success metrics for analytics adoption, usage, and downstream impact on client workflows.
• Act as product owner for one or more Agile teams, managing priorities, trade-offs, and delivery.

Requirements

• 5+ years of experience in financial services, with a data-driven mindset and experience working with alternative data.
• Demonstrated understanding of alternative data and its application to investment research and company analysis.
• Experience working with analytical products, metrics, or models, such as estimates, benchmarks, indices, composites, or signals.
• Understanding of the alternative data market landscape and associated product use cases and workflows.
• Ability to collaborate closely with data scientists and engineers on complex analytical problems.
• Strong judgment when balancing analytical sophistication, scalability, and usability.
• Excellent written and verbal communication skills, including the ability to explain complex problems clearly to technical and non-technical audiences.
• Highly collaborative, ownership-oriented mindset.
• Product management experience building data, analytics, or research platforms is preferred.
• Experience operating in large organizations with multiple stakeholders is preferred.

Benefits

The compensation package includes 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, 401(k) matching, life insurance, and wellness programs.