Senior Data Management Professional - Data Product Owner - Query Enrichment

Bloomberg L.P.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global financial services firm seeks a Senior Data Management Professional to enhance its AI capabilities. The role involves managing query enrichment projects, collaborating with cross-functional teams, and utilizing data analytics to improve outcomes. Candidates should have 3+ years of experience in data management, proficiency in Python, and strong analytical skills. This position offers an opportunity to work with innovative technologies in a dynamic environment.

Qualifications

• At least 3 years of experience in information management or data analytics.
• Experience managing the lifecycle of a data product.
• Ability to translate metrics into business insights.
• Excellent analytical skills with attention to detail.
• Proven track record in stakeholder communication.

Responsibilities

• Own and run key query enrichment initiatives in annotation process management.
• Define and drive enhancement of annotation projects using quality metrics.
• Collaborate on scoping and refining data enrichment tasks.
• Conduct advanced metric analysis and automation.
• Develop analysis notebooks for reporting clarity.

Skills

Python

Data analytics

Problem-solving

Stakeholder management

Tools

Pandas

NumPy

Data visualization libraries

HTML

CSS

JavaScript

Job description

Senior Data Management Professional - Data Product Owner - Query Enrichment

Location

London

Business Area

Data

Ref #

10048218

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, implement technological solutions to enhance our systems, products, and processes, and provide support to our clients.

Our Team:

The Bloomberg Data AI group brings cutting-edge AI technologies into Bloomberg’s Data organization, supplying deep domain expertise to the development of AI-powered products. One of our key focus areas supports compliance monitoring and supervision through structured annotation of electronic communications. These annotations underpin critical policy controls, model training, and enrichment pipelines that enhance compliance coverage, communication understanding, and risk detection.

Our team builds and manages scalable annotation frameworks and governance systems that help ensure compliant, high-quality datasets. We partner closely with Compliance, Product, and Engineering to design annotation guidelines, establish review and escalation protocols, and ensure alignment with evolving regulatory and internal policies.

What’s The Role:

As a member of the Query Enrichment team, you will help make Bloomberg’s GenAI capabilities smarter, faster, and more intuitive. Our work connects data science, natural language processing, and human judgment — enriching queries to ensure users receive the most accurate and relevant responses possible. We partner closely with other Data teams, as well as Product and Engineering to enhance the intelligence behind Bloomberg’s AI offering.

We’ll trust you to:

• Own and run key query enrichment initiatives, which are predominantly focused on annotation process management from build to execution. Contribute to the evolution of Bloomberg’s query enrichment processes by crafting scalable, quality-controlled annotation projects to train and evaluate LLM models and their output

• Applies technical acumen and product mindset to define and drive the strategic evolution of annotation projects, ensuring robust quality metrics are created and utilised to iterate on workflows and performance.

• Collaborate with partners to scope, evaluate, and refine data enrichment tasks. This includes creation of project guidelines, implementation of annotation protocols and providing relevant progress reports and feedback.

• Perform advanced business intelligence, metric analysis, and process automation.

• Develop and document reproducible analysis notebooks that clarify results and streamline stakeholder reporting.

You’ll need to have:

• At least 3 years of professional experience in information management, data analytics, or technical project coordination.

• Experience owning the end-to-end lifecycle of a data product, including design, delivery and measurement with a focus on ensuring data meets consumer needs and drives actionable outcomes.

• Ability to translate technical metrics into business insights for product stakeholders.

• Excellent problem-solving and analytical thinking skills with strong attention to detail.

• Proven track record of stakeholder relationship management, communication, and cross-team collaboration.

We’d love to see:

• Strong proficiency in Python (Pandas, NumPy, and data visualization libraries).

• Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.

• Basic understanding of HTML, CSS, and JavaScript for maintaining task-presenter tools.

• Prior involvement with distributed data labeling operations.

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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 [e-mail]