7 of 7 Metadata Management Jobs in Central London

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: £100,000 - £120,000 base plus benefits, perks, healthcare options and bonus! Note: Capital Markets experience … Data Lead to join our Data Governance & Transformation team. In this role, you will be responsible for managing and leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality, and data access governance. Key … Responsibilities: Lead the Market Data governance stream, bringing priority datasets under governance and implementing data management activities such as Metadata Management, Data Quality, and Data Access & Sharing. Collaborate with business SMEs, BAs, and Technology Leads to define and manage critical data assets, establish DQ rules, and ensure effective data access controls. Facilitate regular meetings with stakeholders to More ❯

Contract Metadata Analyst - £600/day (Inside IR35) Please note - this role is Inside IR35 and requires you to work on site in London two days per week. To be eligible for this role you must have the unrestricted right to work in the UK. This organisation will not offer sponsorship. Overview Our client is seeking an experienced Metadata Analyst to join their team. This role is critical in driving metadata governance and ensuring compliance with enterprise standards. The successful candidate will work closely with data owners, stewards, and project managers to maintain and enhance metadata repositories and processes. Key Responsibilities Own and maintain metadata management repositories. Ensure metadata adheres to policy standards. … Collaborate with data owners and stewards to populate CDEs business metadata. Work with project managers to populate technical business metadata for MITBIT initiative. Establish and execute attestation and change management processes. Support documentation of data lineage where required. Assist in identifying long-term and interim metadata management tools. Promote standardisation, visibility, and corporate usage of metadata. More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

+ 10% bonus + exceptional benefits plus hybrid working to be based in London on a full-time basis (sponsorship approved).You’ll be responsible for delivering data management, AI assurance, and analytics audits , helping clients to design and embed strong data and AI governance frameworks. You’ll also lead the use of AI and analytics tools to automate … and enhance internal audit processes - improving efficiency, accuracy, and insight.This is an exciting opportunity for a proactive leader who thrives at the intersection of data, AI, and risk management , and wants to shape the future of audit within a fast-evolving digital landscape. Plan, lead, and deliver data management, AI, and analytics audits for clients across multiple sectors. … Provide advisory services - designing and implementing data and AI governance frameworks and practical, proportionate controls. Define and assure compliance against data and AI standards, including data quality, lineage, and metadata management. Help build and expand the data and internal audit practice , developing new propositions that meet client and market needs. Drive business development , building trusted client relationships and contributing More ❯

policies. Qualifications & Experience • Working knowledge of data architecture and implementation of governed data solutions using Microsoft Purview, Azure, Databricks, Python, DevOps, Unity Catalogue, Data Factory, and RDBMSs. Experience with metadata management, lineage tracking, and automation tools for governance workflows. • Experience in designing and maintaining end-to-end data architectures, including OLTP and OLAP models, ETL pipelines, data lakes … orchestration frameworks, and reporting platforms. Exposure to CI/CD pipelines and monitoring practices in data engineering. • Ability to apply best practices in data lifecycle management, covering ingestion, transformation, reporting, archival, and decommissioning. Familiarity with data quality frameworks and secure data handling protocols. • Good understanding or strong interest in supporting data governance programs using frameworks like DAMA DMBOK and … internal governance strategies. Experience implementing governance controls in regulated sectors such as banking, reinsurance, or insurance. • Ability to ensure secure data management by applying information security principles and working with relevant technology stacks, including data encryption and key vault management. Strong understanding of data privacy regulations and international standards. • Ability to collaborate on audit and risk management efforts More ❯

Responsibilities Design and build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for data extraction, transforming JSON & XML, utlising high experience within … metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple data tasks in a fast-paced More ❯

physical data models. Identify data entities and define relationships based on business context and processes. Create source-to-target mappings for systems. Support intra-system data design and embed metadata management practices. Participate in governance activities, including review forums and adherence to standards. What you'll need to succeed Good understanding of financial reference and/or market More ❯