Location
London
Business Area
Data
Ref #
10051269
**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 Bloombergu2019s Data organization, supplying deep domain expertise to the development of AI-powered products. The Query Enrichment team provides evaluation and annotation frameworks connecting natural language processing and human judgment in order to enrich queries, elevating the quality, intelligence, and usability of the data that drives our products. We partner closely with other Data teams, as well as Product and Engineering to enhance the intelligence behind Bloombergu2019s AI offering.
**Whatu2019s The Role:**
As a Data Product Owner on the Query enrichment team, you will be responsible for creating frameworks and managing execution of annotation programs contributing to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams, to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems.
You will be responsible for the delivery of annotated datasets – ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals and adheres to high standards of quality, transparency, and usability. You will be expected to contribute to codifying standards, working with stakeholders to align on expectations, ensuring consistent delivery and iterating on our work, such as project design, in order to optimize and scale.
**Weu2019ll 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 Bloombergu2019s query enrichment processes by crafting scalable, quality-controlled annotation projects to train and evaluate LLM models and their output Apply technical acumen and product mindset to define and drive the strategic evolution of annotation projects, ensuring robust quality metrics are created and utilized to iterate on workflows and performance Identify opportunities to modularize, automate, and orchestrate workflows, moving from one-off projects to a reusable operational layer 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
**Youu2019ll need to have:**
A minimum of four years of demonstrated experience in data management concepts, including data quality, modeling and technical project coordination Familiarity with distributed annotation and data labelling operations 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 A passion for learning about the latest developments and progress of cutting edge AI technologies
*Please note: years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
**Weu2019d love to see:**
DAMA CDMP or DCAM certifications Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using Agile/Scrum methodologies to manage complex data lifecycles.
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.
Discover what makes Bloomberg unique – watch our for an inside look at our culture, values, and the people behind our success.
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”, “datePosted”: “2026-05-04”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Bloomberg”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__422299395__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=4” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
Senior Data Management Professional – Data Product Owner – Query Enrichment
Location
London
Business Area
Data
Ref #
10051269
**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 Bloombergu2019s Data organization, supplying deep domain expertise to the development of AI-powered products. The Query Enrichment team provides evaluation and annotation frameworks connecting natural language processing and human judgment in order to enrich queries, elevating the quality, intelligence, and usability of the data that drives our products. We partner closely with other Data teams, as well as Product and Engineering to enhance the intelligence behind Bloombergu2019s AI offering.
**Whatu2019s The Role:**
As a Data Product Owner on the Query enrichment team, you will be responsible for creating frameworks and managing execution of annotation programs contributing to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams, to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems.
You will be responsible for the delivery of annotated datasets – ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals and adheres to high standards of quality, transparency, and usability. You will be expected to contribute to codifying standards, working with stakeholders to align on expectations, ensuring consistent delivery and iterating on our work, such as project design, in order to optimize and scale.
**Weu2019ll 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 Bloombergu2019s query enrichment processes by crafting scalable, quality-controlled annotation projects to train and evaluate LLM models and their output Apply technical acumen and product mindset to define and drive the strategic evolution of annotation projects, ensuring robust quality metrics are created and utilized to iterate on workflows and performance Identify opportunities to modularize, automate, and orchestrate workflows, moving from one-off projects to a reusable operational layer 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
**Youu2019ll need to have:**
A minimum of four years of demonstrated experience in data management concepts, including data quality, modeling and technical project coordination Familiarity with distributed annotation and data labelling operations 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 A passion for learning about the latest developments and progress of cutting edge AI technologies
*Please note: years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
**Weu2019d love to see:**
DAMA CDMP or DCAM certifications Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using Agile/Scrum methodologies to manage complex data lifecycles.
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.
Discover what makes Bloomberg unique – watch our for an inside look at our culture, values, and the people behind our success.
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…