Product Manager - Commodities, Enterprise Data

Bloomberg•New York, NY

2d•$140,000 - $295,000•Onsite

About The Position

We are Bloomberg Enterprise Data, a fast-paced, innovative, and expanding team that partners closely with our clients to understand their unique businesses, individual data, and financial technology (FinTech) needs. Our extensive selection of datasets across all asset types, delivered through multiple technologies and flexible scheduling, ensures clients receive the exact data they need, when they need it, in their preferred format. Our award-winning data powers financial applications and systems in capital markets worldwide. Our commodities data solutions enhance our existing offerings in reference, pricing, regulatory, research, and sustainable data, creating a compelling product suite for buyside asset managers, asset owners, hedge funds, SellSide banks, and service providers. This business is central to our growth strategy within Enterprise Data, and we aim to continue addressing the most complex demands and evolving challenges of our clients, enabling them to innovate and deliver value. The team is tasked with identifying, creating, and designing data solutions that utilize Bloomberg's proprietary analytics and leading commodities data. This requires a deep understanding of commodities data across Energy, Metals, Agriculture, and Carbon, including data sourcing intricacies, data feeds/APIs, and relevant client segments and use-cases. A key aspect of this role is understanding the multi-dimensional challenges our clients face and maintaining our position as their trusted partner in building solutions with best-in-class data. We are seeking a senior individual to join the Enterprise Commodities Content Data team as a Product Manager.

Requirements

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.

Nice To Haves

Proficiency with Python, SQL, or other data science tools.
Experience with cloud-based data delivery or modern enterprise data platforms.

Responsibilities

Build and execute a strategic product roadmap for Commodities Enterprise Data, ensuring alignment with Bloomberg’s overall growth strategy.
Lead collaborative efforts across teams to innovate and expand product offerings, leveraging extensive experience in Commodities.
Utilize deep knowledge of 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.
Ensure incremental deliveries and a phased product roadmap with clearly outlined business outcomes.
Develop a deep understanding of the enterprise data offering, including content, accessibility, usability, quality, tools, and services available to clients.
Lead the development of data-driven strategies to meet business objectives and enhance product offerings, with a solid background in data analysis and forecasting.