Senior Data Management Professional Data Product Owner (Data AI)
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Job Summary
Senior Data Management Professional - Data Product Owner - (Data AI)
Location
London
Business Area
Data
Ref #
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 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:
Data AI contributes to the building of Bloombergs AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality intelligence and usability of the data that drives our products.
By investing in AI at a strategic level we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Datas role in providing robust domain expertise and influential data artifacts to Bloombergs products. As a result our clients will continue to have high quality data and access to new types of datasets.
Whats The Role:
The Data Product Owner serves as the strategic leader responsible for transforming business operations through data and AI. By aligning product engineering and operational partners around a shared vision they define and deliver the data capabilities that enable intelligent automation operational scale and continuous improvement.
This role goes beyond managing requirements to shape how the organization uses data as a strategic asset. Through workflow optimization process simplification and the thoughtful application of AI the Data Product Owner drives solutions that increase efficiency improve quality and create sustainable business value.
Success in this role is measured by the organizations ability to operationalise data and AI at scale turning complex business challenges into streamlined reliable and measurable outcomes.
Well Trust You To:
- Own and evolve scalable frameworks and sophisticated 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 overarching product objectives to guarantee trustworthy consumable intelligence that supports actionable user decisions
- Act as the primary multi-functional liaison driving alignment between Product Engineering and Data teams to translate technical complexities into actionable insights
- Partner with multi-functional teams to define product-aligned requirements and reusable evaluation rubrics ensuring outcomes meet rigorous Data Quality standards
- Drive the strategic evolution of our evaluation infrastructure by pioneering reusable automated frameworks that consistently accelerate multi-functional product delivery
Youll Need to Have:
- Bachelors degree or equivalent experience in Finance Business Economics Accounting STEM or degree-equivalent qualifications
- A minimum of four years of demonstrated experience in 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 to partners in a clear concise manner
- Demonstrable experience in Data Profiling/Analysis using tools such as Python R or SQL
- Past project/experience analyzing financial datasets or demonstrable experience working on financial market concepts
- A logical approach to problem-solving with the ability to resolve complex annotation and data-architectural challenges
- Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI
- Excellent stakeholder management and project leadership skills with a demonstrable ability to evaluate design trade-offs and seamlessly translate technical complexities between Engineering Product and Data teams.
- Experience in data management concepts such as data quality data modeling and data engineering
Wed Love to See:
- DAMA CDMP or DCAM certifications
- 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
- Experience customizing or developing annotation interfaces using Javascript or HTML.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
Required Experience:
Senior IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
