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Bloomberg LP

Team Lead - Enterprise AI

New York, NY · On-site

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What is it like to work at Bloomberg?

Bloomberg is known for its fast-paced and dynamic work environment, driven by a culture of innovation and collaboration that encourages employees to think creatively and push boundaries. The company's global teams work together to deliver real-time financial data and news, with a focus on providing accurate and unbiased information to its clients. For those who thrive in a challenging and rapidly evolving industry, Bloomberg offers opportunities to work on cutting-edge projects and develop skills in data analysis, journalism, and technology.

What makes Bloomberg an attractive place to work?

Bloomberg is a leading global provider of financial data and analytics, known for its cutting-edge technology and influential market insights. The company offers a dynamic work environment that fosters innovation, collaboration, and professional growth, with opportunities to work on high-profile projects and contribute to the development of its industry-leading products. As a Bloomberg employee, you can expect to be part of a global network of professionals who drive business decisions and shape the financial landscape, with access to training and development programs that support your career advancement.

Does Bloomberg pay people when they’re sick?

Yes. Most people get paid when they’re sick.
82% of people say they would get paid if they were sick but scheduled to work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is the health insurance from Bloomberg affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 6 people who took the Breakroom Quiz between March 2025 and January 2026.

How easy is it to get time off at Bloomberg?

Most people find it easy to get time off.
80% of people report it’s easy to get time off.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

How easy is it to take sick days at Bloomberg?

Most people find it easy to take sick days.
90% of people report that it’s easy to take time off if they are sick.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg feel treated with respect by their managers?

Most people feel treated with respect by their managers.
90% of people say they’re treated with respect by their managers.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg get to take their breaks without interruption?

Most people get breaks without interruption.
73% of people report that they get to take their breaks without interruption.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is it stressful to work at Bloomberg?

Most people feel stressed here.
78% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and July 2025.

Do people at Bloomberg enjoy their jobs?

Most people enjoy their job.
75% of people report they enjoy their job.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg recommend working with their team?

Only some people recommend working with their team.
36% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get enough training when they start at Bloomberg?

Most people got enough training when they started.
100% of people report they got enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get support to advance at Bloomberg?

Most people are given support to advance their career here.
In the last year, 73% of people report being given support to advance their career here.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people think Bloomberg’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
55% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do workers feel well informed about how Bloomberg is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

What are the most popular job types at Bloomberg?

    What are the most popular jobs at Bloomberg?

    What are the most popular categories at Bloomberg?

    Infographic showing various Data job openings at Bloomberg in the United States as of August 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 100% Physical job distribution.

    Team Lead, Product Management - Quantitative Data Solutions

    Bloomberg LP

    New York, NY • On-site

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 26 days ago

    Bloomberg rating

    9.4

    Company rating: 9.4 out of 10

    Based on 11 frontline employees who took The Breakroom Quiz

    11th of 247 rated software companies

    Job description

    Team Lead, Product Management - Quantitative Data Solutions
    Location
    New York
    Business Area
    Product
    Ref #
    10053030
    Description & Requirements
    Macro and Commodity Research Data
    Bloomberg is building a comprehensive suite of normalized, linked and point-in-time datasets for quantitative, systematic and quantamental investment research. The portfolio brings together company fundamentals, estimates, pricing, supply-chain relationships, industry and segment-level data, macroeconomic indicators, commodity supply and demand data, and alternative data through interoperable products designed for research and production workflows.
    We are establishing a new Macro and Commodity Research Data vertical and are looking for an experienced Product Manager Team Lead to define its strategy, build its product portfolio and lead its development.
    This role requires a strong understanding of macroeconomic and commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio decisions and risk views. The successful candidate will also understand how AI, agentic research tools and modern data infrastructure are changing the way clients discover, evaluate and consume financial data.
    You will be responsible for shaping a differentiated portfolio spanning areas such as economic releases and surveys, government auctions, commodity supply, demand and inventories, physical flows, positioning, weather, outages and other market-relevant datasets. You will determine where Bloomberg can create distinctive client value, how the products should work together, and how the business can convert that value into sustainable commercial growth.
    The Research Data business is an important part of Bloomberg Enterprise Data's growth strategy. Our objective is to solve complex research and data-management problems for quantitative, systematic and fundamental investment teams, while making Bloomberg data easier to discover, evaluate, integrate and use across client workflows.
    We will trust you to
    • Define the strategy, positioning and multi-year roadmap for the Macro and Commodity Research Data vertical, translating market developments and client needs into clear product priorities.
    • Lead and develop a team of product managers and subject-matter experts, establishing clear responsibilities, decision processes, objectives and measures of success.
    • Build deep domain expertise across systematic macro, commodities and multi-asset research, including how clients combine economic, physical-market, pricing, positioning and alternative datasets to generate signals and manage risk.
    • Develop a strong understanding of the commercial opportunity for the vertical, including addressable markets, client segments, competitive positioning, packaging, pricing and monetisation models.
    • Own the business case for product investment by assessing client value, revenue potential, development cost, strategic differentiation and opportunity cost.
    • Engage senior clients, researchers, portfolio managers, data scientists and data engineering teams to identify unmet needs, test product concepts and validate priorities.
    • Translate client workflows into well-defined data products, including requirements for point-in-time integrity, historical depth, metadata, identifiers, lineage, accessibility, interoperability and production use.
    • Set measurable product and commercial outcomes, monitor adoption and revenue performance, and adjust the roadmap based on evidence rather than activity alone.
    • Manage product specification, prioritisation and delivery across data, engineering, sales, implementation, support and other Bloomberg teams.
    • Ensure that individual products form a coherent portfolio, with common design standards and clear connections across macro, commodities, pricing, reference data and related Bloomberg content.
    • Represent the vertical internally and externally, helping sales teams explain its value and building credibility with sophisticated quantitative and institutional clients.
    • Stay current on developments in financial markets, systematic investment research, data science, AI-enabled workflows and the competitive data landscape.

    You will need to have
    • Significant experience in product management, investment research, quantitative research, financial data or a related field, with evidence of increasing commercial and leadership responsibility.
    • Strong knowledge of macroeconomic or commodity markets, preferably including experience with several of the following: economic data, rates, foreign exchange, futures, energy, metals, agriculture, physical commodity markets or alternative data.
    • A practical understanding of quantitative and systematic investment workflows, from data discovery and hypothesis formation through signal development, backtesting, portfolio construction and production use.
    • Experience defining product strategy, evaluating market opportunities and making commercial trade-offs across pricing, packaging, investment and portfolio priorities.
    • Evidence of building, managing or developing high-performing teams.
    • Strong client-facing skills and the ability to convert complex or ambiguous client problems into clear product and business decisions.
    • The ability to influence across a matrixed organisation and coordinate delivery among product, data, engineering, sales, implementation and support teams.
    • Strong analytical and problem-solving skills, including the ability to use evidence and commercial reasoning to secure investment and management support.
    • Familiarity with modern data platforms, APIs, cloud delivery and the ways clients use Python, R or similar tools in research and data-engineering workflows.
    • A bachelor's degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline.

    Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should be technically credible, able to interrogate data and comfortable working with engineers, data scientists and quantitative clients.
    We use years of experience as a guide and will consider candidates who can demonstrate the leadership, domain expertise, product judgement and commercial capabilities required for the role.
    Salary Range = 235,000 - 350,000 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.
    Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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    About Bloomberg

    Sourced by ZipRecruiter

    Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    New York, NY, US

    Year founded

    1981

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