Senior Data Management Professional - Data Product Owner (Data AI)
About The Position
Bloomberg’s Data organization delivers data, news, and analytics through technology. Data AI helps build Bloomberg’s AI-enhanced products by curating model-training data and improving internal processes through AI. It develops evaluation and annotation frameworks that combine natural language processing with human judgment to improve the quality and usability of data. The Data Product Owner is the strategic leader responsible for transforming business operations through data and AI. The role aligns product, engineering, and operational partners around a shared vision and defines and delivers data capabilities that support intelligent automation, operational scale, and continuous improvement. It shapes the organization’s use of data as a strategic asset through workflow optimization, process simplification, and thoughtful application of AI. Success is measured by the ability to operationalize data and AI at scale and turn complex business challenges into streamlined, reliable, measurable outcomes.
Requirements
- Bachelor’s degree or equivalent experience in Finance, Business, Economics, Accounting, STEM, or degree-equivalent qualifications.
- At least four years of demonstrated experience with data management concepts, including data quality, modeling, and random sampling.
- Extensive experience using data visualization tools such as Tableau or Qlik Sense to communicate sophisticated results clearly and concisely.
- Demonstrable experience in data profiling and analysis using tools such as Python, R, or SQL.
- Experience analyzing financial datasets or demonstrable experience working with financial market concepts.
- Logical problem-solving approach and ability to resolve complex annotation and data-architectural challenges.
- Interest in and familiarity with generative AI frameworks and the requirements of Agentic AI.
- Excellent stakeholder management and project leadership skills, including the ability to evaluate design trade-offs and translate technical complexities between Engineering, Product, and Data teams.
- Experience in data management concepts such as data quality, data modeling, and data engineering.
Nice To Haves
- DAMA CDMP or DCAM certifications.
- Experience using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
- Interest in solving problems and developing data-driven methodologies for high-precision and high-recall anomaly detection.
- Project experience using Agile/Scrum methodologies to manage complex data lifecycles.
- Experience customizing or developing annotation interfaces using JavaScript or HTML.
Responsibilities
- Own and evolve scalable frameworks and strategies for instruction and evaluation task design, ensuring datasets remain fit for purpose for complex Generative AI behaviors.
- Align data frameworks and evaluation strategies with product objectives to provide trustworthy, usable intelligence that supports actionable user decisions.
- Serve as the primary cross-functional liaison, aligning Product, Engineering, and Data teams and translating technical complexities into actionable insights.
- Work with cross-functional teams to define product-aligned requirements and reusable evaluation rubrics that meet rigorous Data Quality standards.
- Drive the evolution of evaluation infrastructure by developing reusable, automated frameworks that accelerate cross-functional product delivery.
Benefits
- Merit increases
- Incentive compensation (exempt roles only)
- Paid holidays
- Paid time off
- Medical benefits
- Dental benefits
- Vision benefits
- Short- and long-term disability benefits
- 401(k) with company match
- Life insurance
- Wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
