2 of 2 Data Stewardship Jobs in the City of London

Purpose of role: The successful candidate will play a key role in Data solution design activities on behalf of the Chief Data Office, ensuring that Data is considered as a key enabler at the very heart of any solution designs and operating models created. The Solution Partner leads engagements with, and acts as the key point of … contact for business customers both to support BAU and change initiatives on behalf of Data Solution and CDO. She/He is expected to build a close working relationship and deep understanding of the business activities, business priorities and data sets they consume and create. They will work with and support the business to adopt strategic data capabilities, comply with data policies and deliver value through Data Solutions. The ideal candidate has an up-to-date understanding of relevant Private Markets (Real Estate Equity/Private Credit) asset classes, investment products; understands asset management capabilities, data domains, data models, familiar with the vendor/service provider landscape within the industry, understands ESG More ❯

Data Governance Lead Location: Hybrid (London or Remote, UK-based preferred) Team: Data & Scientific Computing Type: Full-time, Individual Contributor The Opportunity We’re looking for a Data Governance Lead to scale our internal data governance practice. You will work cross-functionally with data scientists, ML engineers, software developers, and wet lab scientists to ensure … by the challenge of building scalable governance foundations in a fast-moving R&D environment. What You'll Do Design and implement standards for metadata, documentation, structure, format , and data ownership , ensuring alignment with FAIR principles Coordinate data stewardship efforts across scientific and technical teams (e.g., Data Science, Machine Learning, Wet Lab, Discovery) Lead the development … and adoption of the internal data catalogue , enabling discoverability and traceability of datasets Support no-code exploration tools to empower scientists and lab users with intuitive data access Build robust documentation and governance workflows for versioning, data lineage, access, and retention Translate regulatory and licensing requirements into actionable workflows and policies Promote best practices for data More ❯