Senior Data Management Professional - Data Modeller - Private Markets GBR Posted
Listed on 2026-02-17
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IT/Tech
Data Engineer, Data Analyst, Data Security, Data Warehousing
Overview
Senior Data Management Professional - Data Modeller - Private Markets
Location:
London
Business Area:
Data
#:
Description & RequirementsBloomberg 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.
TheTeam
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.
What’sthe role?
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
* We use years of experience as a guide but will consider all candidates who can demonstrate the required skills.
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…
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