Job Information
Bloomberg Senior Data Management Professional - Data Product Owner – Enterprise Data Agent in London, United Kingdom
Senior Data Management Professional - Data Product Owner – Enterprise Data Agent
Location
London
Business Area
Data
Ref #
10050617
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg’s Data organization while supplying deep financial domain expertise to the development of AI-powered products. The Code Generation Data Team provides strategic data management solutions for AI/ML systems that perform code generation. We partner closely with cross functional team members to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products.
The Role
We are seeking a Data Product Owner to lead the evaluation, annotation, and data quality systems underpinning the Enterprise Data Agent. As Bloomberg expands its enterprise data offerings, enabling users to efficiently discover, understand, and interact with data is increasingly critical. The Enterprise Data Agent is a strategic product designed to improve how users explore datasets, surface insights, and interact with Bloomberg’s enterprise data commercial offerings through AI-driven workflows.
A key component of this product is ensuring that AI-driven experiences are accurate, reliable, and continuously improving. Requiring robust evaluation frameworks, high-quality annotation systems, and measurable feedback loops.
This role goes beyond traditional product ownership as you will act as the owner of the evaluation data layer, responsible for ensuring that user interactions, feedback, and annotated datasets translate into high-quality signals for model improvement and product performance.
You will take ownership of fragmented, manual processes and transform them into scalable, repeatable, and measurable systems that support both human-in-the-loop workflows and automated evaluation.
We’ll trust you to:
Own and scale evaluation and annotation workflows, transforming fragmented processes into reliable, high-signal pipelines
Define and operate a release evaluation framework, ensuring consistent, human-validated signals on product and model quality
Drive development of automated evaluation (auto-eval) to improve scalability and reduce manual dependency
Establish and manage error and theme taxonomies, enabling structured, actionable insights for product and engineering
Translate user feedback and evaluation outputs into prioritized product improvements, partnering closely with Engineering and Product
Define, track, and report on key performance metrics, ensuring transparency into data quality and product performance
You’ll need to have:
4+ years of experience in data product ownership, data operations, or AI/data evaluation workflows
Strong understanding of data quality, data modeling, and AI evaluation methodologies
Experience working with annotation workflows, labeled datasets, or human-in-the-loop systems
Proven ability to translate ambiguous problems into structured frameworks and processes
Experience collaborating with engineering and product teams on AI/ML-driven products
Proficiency in SQL, Python, or similar tools for data analysis and validation
Strong organizational and prioritization skills, with the ability to manage both strategic and operational responsibilities
We’d love to see:
Experience with search, retrieval, or agent-based AI systems
Familiarity with evaluation frameworks for generative AI or LLM-based products
Experience designing taxonomies, ontologies, or structured labeling systems
Understanding of enterprise data products and user workflows
Experience working with data discovery platforms or metadata systems
Knowledge of Bloomberg Enterprise Data
Experience in Agile/Scrum environments
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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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 amer_recruit@bloomberg.net