3 of 3 Permanent Metadata Management Jobs in Milton Keynes

assets across key data domains.Manage and continuously improve data quality capabilities, including the definition, monitoring, reporting, and remediation of data quality issues and metrics.Oversee metadata management, data cataloguing, lineage, and data classification activities to improve data transparency, discoverability, and trust.Facilitate Data Governance Councils, Stewardship Forums, and governance committees … compliance, and continuous improvement, supporting initiatives that enhance data literacy, governance maturity, and enterprise-wide trust in data.AI/ML Role:AI, Data Layer & Metadata ManagementDefine and maintain data governance standards for the data layer, including quality, metadata, lineage, access, and usageOwn and prioritise the data governance backlog ...

High-Level Design (HLD) for the Data Product Catalogue in the target development environment. Target State Architecture: Define hosting, database connectivity (PostgreSQL, Neo4j), secrets management, and platform integrations in line with enterprise standards. Governance & Approvals: Present to and secure approvals from Design Authority (DA) and architectural governance boards. Codebase … Assess existing DPC codebase, application architecture, and deployment artifacts to replace local components with enterprise services. Enterprise Integration: Design seamless integration connectivity with enterprise metadata, lineage services, IAM, ITSM, and Azure DevOps CI/CD pipelines. Delivery Leadership: Own the end-to-end delivery plan across design, build, integration ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...