Senior Data Management Professional - Data Modeller - Private Markets in London

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 Private Markets & Foundational Data team is responsible for building and maintaining Bloomberg's core private markets datasets, covering private companies, funds, private credit, securities, deals and transactions and the entities and structures that connect them. The team operates at the intersection of domain expertise, data architecture, and product enablement, supplying authoritative data that is consumed across Bloomberg products, analytics, and client workflows.

Private Markets data is inherently complex and less standardised than public markets data. Company structures evolve quickly, ownership can be opaque, and data must be sourced and reconciled from multiple providers and internal systems. As Bloomberg continues to expand its private markets coverage, the team is focused on modernising data structures, strengthening metadata and semantic alignment, and ensuring that private markets data integrates cleanly into Bloomberg's broader data ecosystem.

The Private Markets Data Modeller is responsible for the structural coherence and consistency of data models across all Private Markets datasets. The role ensures that logical data models, field definitions, classifications, and metadata are well designed, aligned, and scalable as coverage grows and new use cases emerge.

Reporting directly to the Head of Private Markets Data, this role works horizontally across the department, partnering with Data, Product, and Engineering teams to guide modelling decisions and resolve inconsistencies. While not directly responsible for building ontologies or knowledge graphs, the role works closely with Bloomberg's central Semantic Modelling team to ensure that data structures and relationships can be cleanly represented in semantic models and metadata systems.

Day to day, the role combines hands-on data modelling with stakeholder engagement and oversight, translating product and client needs into durable data structures that support downstream analytics, interoperability, and long-term data health.

We'll trust you to:

• Create, manage and govern Private Markets data taxonomies and classifications with the goal of fully onboarding and aligning our data in Bloomberg's metadata management systems including semantic models
• Collaborate with subject matter experts within the Private Markets Product and Data teams to identify relevant client use cases and model datasets to enable alignment within Private Markets Data and across other Bloomberg datasets
• Update and maintain data implementation configurations and work to align these configurations against taxonomies and classifications
• Develop and maintain documentation related to design, data model and dictionaries
• Create tools and processes to monitor and maintain metadata inventories to ensure they are of high quality, timely and accurate
• Work with counterparts within Data, Product and Engineering to enable implementations that utilize centralized metadata stores and classifications
• Balance the best of technical and product knowledge to craft solutions for customers
• Provide mentorship and guidance to junior team members and contribute to their professional development

You’ll need to have:

• 4+ years experience using technical skills such as programming, data modeling, and statistical methods to solve problems
• Collaboration skills to work across partner groups through Data, Engineering and Product teams across the globe
• Data design skills for organizing data considering both product need, client usability and engineering objectives
• Strong communication and interpersonal skills, with the ability to effectively convey complex technical concepts to diverse audiences
• Project management skills with the ability to prioritize and adapt to tasks accordingly
• Demonstrated ability to drive results, meet tight deadlines, and manage multiple priorities and stakeholders

We'd love to see:

• Exposure to the Bloomberg Terminal, Bloomberg API's or Enterprise Data products.
• Solid understanding of software development life cycle (SDLC) methodologies.
• Experience with semantic web technologies and W3C semantic standards.
• Knowledge of graph technologies and ontology languages and standards such as OWL, RDF, SKOS, and SHACL.
• Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.).
• Familiarity with Private Market Data including but not limited to Private Credit, Companies & Funds.

Does this sound like you? Apply if you think we’re a good match. We’ll get in touch to let you know what the next steps are!

Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.