15 of 15 Remote/Hybrid Metadata Management Jobs in the South East

data foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development.You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape how data … doEstablish and govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions.Design and implement scalable metadata management capabilities that improve data quality, lineage, interoperability and discoverability across structured and unstructured data.Drive the adoption of AI-enabled approaches to metadata ...

data foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development. You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape … govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions. Design and implement scalable metadata management capabilities that improve data quality, lineage, interoperability and discoverability across structured and unstructured data. Drive the adoption of AI-enabled approaches to metadata ...

data foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development. You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape … govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions. Design and implement scalable metadata management capabilities that improve data quality, lineage, interoperability and discoverability across structured and unstructured data. Drive the adoption of AI-enabled approaches to metadata ...

Applies and maintains the classification approach for in-scope holdings against the applicable EHDS secondary-use data categories and implementation requirements. Applies the target metadata standard, including HealthDCAT-AP where required, so that catalogue entries are complete, consistent, interoperable, and discoverable by Health Data Access Bodies and prospective data … users. Develops and maintains the minimum metadata requirements, decision framework, classification guidance, data-owner instructions, and controls required for consistent cataloging across functions and geographies. Coordinates with data owners to obtain, validate, and maintain required dataset information; identifies gaps or delays and drives resolution through the appropriate governance channels. ...

Quality Manager, and Standards Compliance Manager, interacting with service delivery functions and project stakeholders to ensure full compliance with contractual IPR requirements, the IPR Management Plan, and industry best practices for document and asset management. Key duties include: Own and manage a large-scale IPR repository comprising tens … controlled, traceable and readily retrievable throughout their lifecycle. Drive the day-to-day governance and quality of the IPR repository, including bulk document onboarding, metadata management, document reconciliation, identification and resolution of gaps or duplicates, and periodic completeness and quality reviews to maintain an accurate and audit-ready ...

doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted Translating business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead … sample data Providing high-quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining ...

Head of Data Governance Lead enterprise data governance and management for a complex, regulated organisation, shaping trusted data, clear accountability and robust controls. This senior opportunity suits a proven governance leader who can influence executives and embed organisation-wide change. This role is officially known as Head of Data … Management & Governance If you’ve also worked in the following roles, we’d also like to hear from you: Data Governance Lead, Data Governance Manager, Head of Data Management, Data Management Lead, Enterprise Data Governance Lead, Data Quality Lead, Head of Data Quality, Data Governance and Quality ...

subject matter expert for PMO tooling, defining configuration, workflows, integrations, and system changes. Ensure PMO systems support effective portfolio governance, delivery oversight, and management insight. Provide expert-level guidance to PMO teams and project professionals on systems, reporting standards, and best practice. Data Governance & Quality Assurance Oversee … data governance and quality assurance across all PMO datasets. Establish and enforce data standards, validation rules, metadata structures, and assurance processes. Ensure PMO data is accurate, consistent, reliable, and fit for decision-making. Maintain robust data structures, controlled vocabularies, data lineage, and appropriate access controls. Enterprise Reporting & Insight Develop ...

current and future state business processes, data flows, roles, responsibilities and governance controls Support the definition and adoption of data ownership, stewardship, data quality, metadata management and data issue management processes Support the configuration, adoption and business use of Microsoft Purview capabilities such as the data catalog … development of business glossaries, critical data element definitions, policies, standards and operating procedures Work with stakeholders to define Microsoft Purview glossary terms, ownership models, metadata standards and catalogue enrichment requirements that improve data discoverability and trust Provide clear communication on progress, risks, dependencies and decisions to project teams ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven ...

planning, acceptance criteria. – Define and maintain KPI and metric definitions for consistency. – Set data quality rules, validation criteria, and operational checks. – Champion data stewardship, metadata, and governance best practice. – Partner with BI/analytics teams to ensure data products meet user needs. – Support UAT, data validation, and troubleshooting … work with both business stakeholders and technical teams to deliver data-driven solutions. – Experience working with Agile methodologies and delivery frameworks. – Excellent stakeholder management, communication, and facilitation skills. – Knowledge of data governance, metadata management, and data stewardship principles. Desirable Skills: – Experience with BI tools like Power ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

date and time: 11-September-2026 01:10 Digital Asset Management Service Manager Osney One Building, Osney Mead, Oxford, OX2 0EW, with hybrid working THIS POST COULD BE CONSIDERED AS A SECONDMENT OPPORTUNITY. About the Role You will join the Bodleian Libraries at an exciting time as we implement … Digital Asset Management (DAM) system to support our growing digital collections.You will lead the development of a sustainable, user-focused DAM service, helping to improve how our digital collections are managed, preserved, discovered and reused. Working with teams across the Bodleian, you will shape workflows, standards and governance, support ...