Senior Data Management Professional - Data Product Owner - Annotation Management and Dialogue L ...

Senior Data Management Professional - Data Product Owner - Annotation Management and Dialogue Labeling

Location: London

Business Area: Data

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

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 core areas focuses on Dialogue Labeling and Annotation Management, supporting Natural Language Processing (NLP) enrichments across multiple communication platforms. These enrichments are critical for structuring unstructured client communications and fueling intelligent downstream search, classification, summarization, and insight generation.

Our team builds and manages scalable annotation frameworks, driving quality training and evaluation datasets. We partner closely with Product and Engineering to elevate the performance of Machine Learning (ML) models, enrichments, and features delivered to clients. Looking forward, our roadmap includes expansion into communication-based search insights and further enhancements of ML enrichments.

As a Data Product Owner, you are a true hybrid professional - a bridge between deep financial domain expertise and cutting-edge technology. You will play a pivotal role in solving complex data challenges in finance by ensuring our data collection, documentation, and tooling adhere to MDLC (Machine Learning Development Lifecycle) best practices.

This role requires a strategic mindset around ML training data design, a strong understanding of data modeling and schema architecture, and the ability to align data strategies with product objectives. You will also be responsible for designing data pipelines and annotation schemas that support search relevance modeling, query understanding, and text summarization, enabling fast, relevant, and trustworthy information delivery from communication streams. You'll be expected to guide the data design that supports extracting intent, identifying salient content, and generating concise responses or insights that drive decision-making for Bloomberg clients. You may also be responsible for providing support for our NLP solutions in other domains involving complex financial instruments.

• 4+ years of experience working in AI/ML data roles, ideally focused on NLP, communications, or information extraction.

• Proven experience with annotation programs, dialogue labeling, or large-scale training/evaluation dataset development.

• Strong grasp of data modeling, schema design, and best practices for structuring unstructured data.

• Familiarity with search infrastructure and summarization models, and how data influences relevance ranking and response generation.

• Demonstrated ability to design, scale, and govern data pipelines that support high-impact ML model training and evaluation.

• Comfort engaging with ML practitioners to co-design data schemas and evaluate performance trade-offs.

• Excellent project management skills and the ability to manage competing priorities across multiple stakeholders.

• Knowledge of Python, SQL, and common ML/NLP tooling.

• Experience working with annotation tools or platforms (e.g., Prodigy, Labelbox, Snorkel, etc.).

• Background in information retrieval, semantic search, or abstractive summarization.

• Familiarity with model lifecycle practices (training, fine-tuning, evaluation).

• Experience with generative AI systems and prompt evaluation workflows.

• Certification in data governance (e.g., DAMA CDMP, DCAM).

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