Senior Data Management Professional

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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes
- all while providing platinum customer support to our clients. The Team: The Economics Data team is responsible for onboarding, modelling, maintaining, and improving datasets that power Bloomberg's Economics products and client workflows. Our data supports the Bloomberg Terminal, BQL, Enterprise solutions, and other Bloomberg products. We lead a broad range of datasets, including macroeconomic, government, survey, forecast, time-series, and vendor-supplied data. Our mission is to deliver data that is accurate, timely, scalable, discoverable, interoperable, and ready for both client consumption and AI-driven applications The Role: We are looking for a Senior Data Management Professional – Semantic Modelling to define and drive the semantic modelling strategy for Economics data. You will play a key role in advancing Bloomberg's Data for AI readiness strategy, with a focus on modelling and query readiness. Working closely with Data, Engineering, Product, and domain experts, you will develop semantic models, ontologies, taxonomies, and metadata standards that make Economics data discoverable, interoperable, reusable, and AI-ready. We’ll trust you to: Define and evolve semantic models, taxonomies, ontologies, and metadata standards Design interconnected data models and knowledge structures that support client workflows, search, and AI applications Establish standard processes for metadata, lineage, provenance, and data governance Partner with Product, Engineering, and domain experts to deliver scalable, reusable data solutions Audit existing data model and infrastructure; utilize industry standard data architecture & modeling with focus on interoperability Drive data quality, interoperability, and FAIR data principles across the data lifecycle Audit and improve existing models, processes, and standards, while mentoring colleagues and promoting semantic modelling standards Research industry standards and best practices on data attribute and modeling requirements You’ll need to have: Bachelor's degree or equivalent experience in Economics, Statistics, Computer Science, Engineering, or a related field Experience in semantic modelling, data management, governance, metadata, or data architecture and experience designing scalable, interoperable data models and data products Good understanding of ontologies, taxonomies, metadata, lineage, and data lifecycle management Technical proficiency in SQL, Python, or similar analytical tools Project management skills and ability to prioritize and adapt to tasks accordingly Strong stakeholder management, communication, and problem-solving skills. Demonstrated continuous career growth within an organization Fluency in both spoken and written English We’d love to see: Experience with Economics or time-series datasets. Experience applying AI or machine learning to data management challenges. Experience with knowledge graphs or semantic technologies. Agile project delivery experience and/or CDMP certification. Learn more about our offices and

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