Product Manager - Commodities, Enterprise Data

Details

Bloomberg Enterprise Data is seeking a senior Product Manager to lead the Commodities Enterprise Data offering. The role focuses on building data solutions across Energy, Metals, Agriculture, and Carbon, using Bloomberg’s proprietary analytics and industry-leading commodities data. The successful candidate will work with Engineering, Product, Data, Sales, Analytics, and support teams to deliver scalable data products, feeds, APIs, and enterprise data platforms for clients across the capital markets.

Responsibilities

• Build and execute a strategic product roadmap for Commodities Enterprise Data aligned with Bloomberg’s overall growth strategy.
• Lead cross-functional collaboration to innovate and expand product offerings.
• Identify client needs and create data solutions that provide a competitive advantage.
• Engage directly with clients to understand their challenges and develop scalable data solutions.
• Establish incremental deliveries and phased product roadmaps with clearly defined business outcomes.
• Apply large-scale project management and agile development experience to drive continuous improvement and customer satisfaction.
• Develop a deep understanding of the enterprise data offering, including content, accessibility, usability, quality, tools, and client services.
• Lead data-driven strategies involving data analysis and forecasting to meet business objectives and enhance product offerings.
• Work closely with Engineering, Product, Data, Sales, and relevant support teams to grow the data business.

Requirements

• Extensive product management experience, particularly with commodities data.
• Strong understanding of commodities sub-asset classes, including Energy, Metals, Agriculture, and Carbon, with expertise in at least two of them.
• Deep knowledge of client cohorts and target audiences for commodities data products.
• Demonstrated expertise in commodities and a comprehensive understanding of trading processes and data needs.
• Proven commercial acumen and experience growing a data business focused on data feeds and APIs.
• Excellent communication and stakeholder management skills.
• Proficiency with Python, SQL, or other data science tools.
• Experience with cloud-based data delivery or modern enterprise data platforms.

Benefits

The compensation package may include benefits such as merit increases, incentive compensation, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.