4 of 4 Remote Part-Time Metadata Management Jobs

Security Services Operations SME Reference & Master Data Management Location: Edinburgh (Hybrid 2 days on-site) Contract Type: Permanent/FTE (1-Year Duration) Rate: Market Standard Business Division: Investment Banking Operations/Security Services Role Overview We are seeking a Security Services Operations Subject Matter Expert (SME) with deep experience in Reference and Master Data Management to support … design, enhance, and implement enterprise-wide data models and workflows that underpin securities reference and client master data. Key Responsibilities Serve as the SME for Securities Operations and Data Management, focusing on Reference Data (Instrument, Issuer, Counterparty) and Master Data (Client, Account, Legal Entity). Partner with Front Office, Operations, and Technology teams to define and optimize data models … into data lineage, dependencies, and usage across Security Services operational platforms. Drive process improvement and automation initiatives to enhance data accuracy and straight-through processing (STP). Support change management, including UAT execution, documentation, and training for global operations teams. Represent Operations in data governance forums covering data ownership, metadata management, and strategy alignment. Required Skills & Experience More ❯

Data Management Specialist (Purview) Location: Hybrid (with some presence required at Bournemouth office) Contract: 12-month Fixed Term Contract Salary: 68,0000 - Bonus, PHC, double match pension, 38 days holiday Are you ready to shape the future of data in financial services? Were looking for a passionate Data Management Specialist to lead a greenfield implementation of Microsoft Purview … and help drive an enterprise-wide data transformation. This is an exciting opportunity to embed best-in-class data practices and governance across a dynamic organisation. Data Management Specialist (Purview) What Youll Do Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance, and business teams to ensure data quality, consistency, and compliance. Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239). Act as a technical advisor and coach More ❯

to work You can find out more here: Benefits - Police Digital Service (pds.police.uk) The Data Architect implements the design, build and best practice for the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture, working seamlessly with internal PDS and external partners to enable and fulfill multiple stakeholder requirements. Key Responsibilities Implement and manage the … data architecture frameworks, guidance, maintenance and understanding of how data is processed and how it flows Work with senior stakeholders to align priorities and secure support Support the build, management and maintenance of data and analytics capabilities including design and build of solutions, data infrastructure, analytics tools, products and services Support the build, management and maintenance of data … and analytics capabilities including assurance and controls, data management, data tools, products and services Detect and analyse early trends in data and analytics technology Support teams to realise opportunities for innovation Advise on new techniques and methods that address shared problems Implement organisational processes and ways of working so that data and analytics roles you support can thrive Continuously More ❯

Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as More ❯