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Senior Data Management Professional - Data Product Owner - Classifications

Location

Skillman

Business Area

Data

Ref #

10047204

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients—around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply product thinking, deep domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape.

Our Team:

The Classifications team is responsible for creating and maintaining the classifications that organize companies and securities into peer groups based on similar business activities and risks. These classifications form the foundation for peer group analysis, benchmarking, and market trend evaluation. When clients compare investment opportunities, evaluate sector exposures, or analyze historical performance, classification data provides the consistent framework that makes these insights possible.

We enable clients to:

+ Assess how global, regional, or local industry trends affect portfolios

+ Compare and report on sector exposures versus peers and benchmarks

+ Identify investment opportunities across developed and emerging markets

+ Analyze sector and industry contributions to portfolio performance

+ Build consistently defined, sector-based investment and rotation strategies

The Role:

We are seeking a Data Product Owner to lead the strategy, development, and evolution of Bloomberg’s Private Company Classifications. You will be responsible for maximizing the value of this dataset—ensuring it meets client needs, supports internal product goals, and upholds Bloomberg’s standards for quality, transparency, and usability.

You will manage the roadmap for private company classifications, balancing near-term enhancements with long-term innovation. Partnering with Engineering, Data, and Product teams, you will modernize the dataset, improve delivery mechanisms, and unlock advanced analytical capabilities across Bloomberg platforms.

We'll trust you to:

+ Own the end-to-end strategy and roadmap for private companies’ classification data, balancing technical modernization with business impact.

+ Define and communicate the vision for a fit-for-purpose classification product aligned with evolving industry use cases

+ Lead discovery and prioritization to assess dataset needs, quality, and expansion opportunities

+ Translate client and internal feedback into actionable requirements with clear acceptance criteria

+ Collaborate with Engineering and Product to deliver iterative improvements, manage dependencies, and ensure scalability

+ Define and supervise data quality metrics such as completeness, recency, accuracy, and availability.

+ Advocate for the role of classification data across Bloomberg, driving adoption and enabling better client experiences

You'll need to have:

_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._

+ 4+ years of experience in financial data, with deep knowledge of classification data and its applications in financial markets

+ Awareness of emerging trends in private markets and the complexities of non-public company structures

+ Proven experience as a Data Product Owner or Product Manager working with large-scale datasets or platforms.

+ Ability to define and communicate a compelling data product vision across technical and non-technical audiences

+ Experience building product roadmaps, managing backlogs, and leading cross-functional delivery in Agile or hybrid environments

+ Strong data-driven decision-making skills, with comfort using metrics to guide prioritization and measure success

+ Excellent collaboration and communication skills, with experience influencing across Product, Engineering, and Data teams

+ Ability to bring clarity and structure to complex, evolving problem spaces

We'd love to see:

+ Experience with data governance, quality frameworks, and metadata management

+ Familiarity with modern data infrastructure, including APIs, data pipelines, and machine learning or LLM-based enrichment solutions

+ Knowledge of financial workflows that rely on accurate classification data (e.g., portfolio construction, risk management, compliance)

+ Background in private company data or emerging market analytics

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

Salary Range = 110000 - 190000 USD Annually + 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.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]