Product Manager - Commodities, Enterprise Data

They will be responsible for building a strategic product roadmap and measurement of progress towards the long-term vision for Commodities Enterprise Data offering. They will be an integral part of our collaborative leadership team of seasoned product managers, working with key stakeholders across Enterprise Data entire range of products and solutions. In this role we expect they have an aptitude for sound judgment, excellent execution, coordination, collaboration, communication, and implementation. They must work closely with Engineering, Product, Data, Sales, and all relevant support teams. They will be expected to ensure a relentless drive to drive the Data business growth.

Product Strategy: Build and execute a strategic product roadmap for Commodities Enterprise Data, ensuring alignment with Bloomberg’s overall growth strategy. Lead a collaborative effort across teams to innovate and expand our product offerings, leveraging your extensive experience in Commodities.

Client-Centric Solution Design: Utilize your deep knowledge of the commodities to identify client needs and create data solutions that provide a competitive edge. Engage directly with clients to understand their challenges and collaborate on developing scalable data solutions.

Agile Product Management: Ensure we have incremental deliveries and a phased product roadmap with clearly outlined business outcomes. Your leadership in product strategy, combined with your experience in large-scale project management and agile development, will be crucial in driving continuous improvement and customer satisfaction.

Ability to develop a deep understanding of our enterprise data offering when it comes to our content as well as the accessibility, usability, quality, tools, and services available to clients that allow them to deepen their interaction and usage of our content.

Data Analytics and Technical Proficiency: With a solid background in data analysis, forecasting, you will lead the development of data-driven strategies to meet business objectives and enhance product offerings.

Extensive experience in product management, particularly in commodities data.

Strong understanding of the various commodities sub-asset classes (Energy, Metals, Agriculture and Carbon) and expertise in at least 2 of them.

Deep knowledge of client cohorts and target audience for commodities data products.

Demonstrated expertise in commodities and a comprehensive understanding of the trading process and data needs

Demonstrated commercial acumen with a proven track record in growing a data business with a focus on data feeds and APIs

Excellent communication and stakeholder management abilities.

• Proficiency with Python, SQL, or other data science tools.

• Experience with cloud-based data delivery or modern enterprise data platforms.