51 to 75 of 219 Metadata Jobs in England

trusted analytics, reporting and business intelligence solutions. Designing and managing secure, reliable data services and APIs. Establishing best practices across data quality, governance, lineage, metadata and observability. Embedding security, privacy and compliance into data architecture and engineering processes. Working closely with technical and commercial stakeholders to influence data strategy, architecture ...

trusted analytics, reporting and business intelligence solutions. Designing and managing secure, reliable data services and APIs. Establishing best practices across data quality, governance, lineage, metadata and observability. Embedding security, privacy and compliance into data architecture and engineering processes. Working closely with technical and commercial stakeholders to influence data strategy, architecture ...

trusted analytics, reporting and business intelligence solutions. Designing and managing secure, reliable data services and APIs. Establishing best practices across data quality, governance, lineage, metadata and observability. Embedding security, privacy and compliance into data architecture and engineering processes. Working closely with technical and commercial stakeholders to influence data strategy, architecture ...

trusted analytics, reporting and business intelligence solutions. Designing and managing secure, reliable data services and APIs. Establishing best practices across data quality, governance, lineage, metadata and observability. Embedding security, privacy and compliance into data architecture and engineering processes. Working closely with technical and commercial stakeholders to influence data strategy, architecture ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

cloud-based data platforms such as AWS and Databricks. Experience with Power BI reporting and operational MI. Understanding of data governance, lineage and metadata management principles. ...

insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience. Experience with data mesh, domain-oriented data products, common data models, data contracts, metadata, and data governance. Experience industrialising analytical prototypes with data-engineering and architecture teams. Experience integrating generative AI or machine learning into business products. Familiarity with ...

APIs, data feeds, monitoring and alerting capabilities, and self-service features. Collaborate with engineering and governance teams to establish data contracts, quality rules, lineage, metadata, ownership, access controls, retention, and monitoring. Maintain and prioritize the backlog using customer value, business impact, risk, dependencies, effort, and capacity. Coordinate delivery across Data ...

GovernanceDesign and execute data quality checks, reconciliations and validation controls. Validate source-to-target mappings and transformation requirements. Support data governance activities, standards and metadata management practices. Investigate and resolve data quality issues across multiple source systems. Technical DeliveryTranslate business requirements into effective data solutions. Contribute to the design ...

surfaces. Own the cost and usage data platform on Databricks, ingesting Azure Cost Management exports, reservation and Savings Plan data, resource inventory and tagging metadata into Delta Lake and modelling it into trusted datasets. Build and own Power BI semantic models behind cost reporting, including DAX measures, composite and DirectQuery ...

through discovery, design, build, validation and release, while maintaining clear separation between product outcomes and delivery execution. Data Governance, Quality & Controls: Define ownership, lineage, metadata, access controls, reconciliation and quality expectations so that premium data is trusted, auditable and suitable for authorised use. Adoption & Value Realisation: Define success measures, monitor ...

data architecture, ensuring consistency across initiatives. Drive best practice in areas including: Data architecture Entity resolution Master Data Management (MDM) Data governance Data quality Metadata management Produce high-quality architecture artefacts, standards and design documentation. Provide architectural assurance and governance for solution designs. Work closely with senior business and technical ...

operational workflows. enterprise data intelligence: build end-to-end cataloging, data lineage, and GxP-compliant governance policies using Collibra Data Intelligence Cloud . devops & metadata integration: connect Collibra with GitHub to parse technical lineage (dbt, LookML) and develop custom API integrations. strategic influence: translate complex pharma business challenges across ...

operational workflows. enterprise data intelligence: build end-to-end cataloging, data lineage, and GxP-compliant governance policies using Collibra Data Intelligence Cloud . devops & metadata integration: connect Collibra with GitHub to parse technical lineage (dbt, LookML) and develop custom API integrations. strategic influence: translate complex pharma business challenges across ...

Support the implementation of Vinarchy's Data Governance Framework. Assist Data Owners and Data Stewards in executing governance responsibilities. Maintain business glossaries, data dictionaries, metadata, and data lineage documentation. Facilitate governance forums and stewardship meetings. Track compliance with data policies, standards, and controls. Support governance maturity assessments and improvement initiatives. ...

forward so you can thrive professionally and personally. What this job involves: This position will be responsible for Data Governance initiatives such as metadata management and performing analysis on Capital Markets data in order to propose quality rules and data standards that will improve overall Data Quality within the Capital ...

advanced Excel skills. We’d also value: • Experience contributing to MDM initiatives and improving data consistency across an organisation. • Familiarity with data cataloguing and metadata management tools such as Microsoft Purview. • Knowledge of records management, retention and lifecycle management, ideally using SharePoint or similar tools. • Strong analytical skills, including data ...

ongoing operations? Accountabilities: * Enterprise Data Standards: Define, design, document and implement enterprise data standards for Tax and Treasury covering master, reference, transactional and metadata elements, ensuring clarity, consistency and long-term maintainability. * End-to-End Data Model Ownership: Own the Tax and Treasury data model across SAP S/4HANA ...

portfolio of products, capabilities or strategic domains.Experience translating enterprise strategy into coordinated roadmaps, investments and measurable outcomes.Strong understanding of data governance, data quality, metadata, semantic models and interoperability.Experience enabling analytics, automation or AI through trusted enterprise data.Experience navigating complex cross-functional priorities and trade-offs.Strong leadership, coaching, stakeholder management ...

service, platform APIs, developer portals and platform-as-a-product principles. Developer Portals: Backstage or equivalent technologies. Service Catalogue: Software components, systems, APIs, ownership, metadata and lifecycle management. Golden Paths: Standardised application templates, paved roads and reusable engineering patterns. CI/CD: GitHub Actions, GitLab CI, Azure DevOps, Jenkins ...