Product Manager - Commodities, Enterprise Data

Bloomberg is hiring a Product Manager - Commodities, Enterprise Data in New York, United States. It pays $140k-$295k a year and Level rates it ; you can apply on Bloomberg.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions product management, commodities data and financial technology among its tools and skills.
Level classes it as a senior role.
Bloomberg has 335 other open roles on Level.
Posted within the past two weeks.

AI in this role

Lead the product roadmap and strategy for Bloomberg's Enterprise Commodities data offerings and financial analytics solutions.

product-managementcommodities-datafinancial-technologydata-strategy

Anticipate the possible. Use your years of financial services expertise to shape and improve our products to meet our clients’ evolving demands. Partner with our Engineering, Sales and Analytics teams to stay a step ahead of our clients’ every business need. We are Bloomberg Enterprise Data - fast paced, innovative and expanding! We partner closely with our clients, taking time to understand their unique businesses, individual data, and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get the exact data they need, when they need it, in the format they prefer. Our award-winning data helps power the world’s financial applications and systems in the capital markets.
Our commodities data solutions complement our award-winning data offerings spanning reference, pricing, regulatory, research and sustainable data products in bringing together a complete product suite that creates a compelling value proposition to customers across buyside asset managers, asset owners and hedge funds, SellSide banks as well as service providers. This business is core to our growth strategy across Enterprise Data, and our ambition is to continue servicing the most complex demands and evolving challenges of our clients so that they can keep innovating and delivering value to their clients.
The team is responsible for identifying, creating, and designing data solutions that leverage Bloomberg's proprietary analytics and industry-leading commodities data. This requires an in-depth understanding of commodities data across the various asset classes including Energy, Metals, Agriculture and Carbon. It requires a good understanding of the intricacies of the data sourcing in commodities as well as a deep understanding of data feeds/API’S and the corresponding target client segments and use-cases.
Key to this is understanding the multi-dimensional challenges our clients are trying to solve and making sure that we remain their trusted partner as they work with us to build solutions driven by best-in-class data. We are seeking a senior individual to join the Enterprise Commodities Content Data team as a Product Manager.
What is the role?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.
We will trust you to:

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.

You will need to have:

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.

We’d love to see:• Proficiency with Python, SQL, or other data science tools.• Experience with cloud-based data delivery or modern enterprise data platforms.
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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How we rate this

Product Manager - Commodities, Enterprise Data at Bloomberg rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Product Manager - Commodities, Enterprise Data is an open job at Bloomberg.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $140k-$295k a year.
The role is based in New York, New York, United States of America.
The job was posted on October 12, 2026.
Seniority: senior.
Applications are handled by Bloomberg. Apply on Bloomberg

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementCommodities DataFinancial TechnologyData Strategy

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where commodities data was part of your work. What did you do?
Tell me about a project where financial technology was part of your work. What did you do?
Tell me about a project where data strategy was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Product Management, Commodities Data, Financial Technology, and Data Strategy. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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