101 to 125 of 145 Metadata Jobs in the UK

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

accelerate decisions. Data Product & Domain Expertise Define capabilities that make data and content easier to discover, understand, access, integrate, and reuse. Gather requirements covering metadata, taxonomy, lineage, ownership, entitlements, search, onboarding, and data quality. Define requirements for mastered data, including identifier design and lifecycle, validation, matching, mapping, hierarchies, and cross … working with Agile engineering teams and tools such as Jira and Confluence, with confidence using SQL or similar analytical tools. Knowledge of data products, metadata, identifiers, mastered data, data quality, and the lifecycle of data across systems. Understanding of APIs, data models, integrations, and the requirements needed to build reliable ...

data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. … processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence, and build credibility with senior business and technical ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop tools for data-driven insights and task automation, and research …/CD to automate build, test and deployment activities. Understanding of data validation and assurance approaches, including quality controls and reconciliation. Understanding of metadata management, data lineage and traceability. Strong problem-solving skills and the ability to collaborate across multidisciplinary teams. Clear communication skills for engaging customer stakeholders and sharing ...

Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs and customer-facing analytics Build in data quality, lineage, metadata, and access controls from the start Build, shape and scale a modern AWS data platform Youll be part of the team turning platform strategy into … from raw ingestion through to curated, business-ready products Create resilient data transformations that support reliable customer-facing analytics Embed governance by design, including metadata, lineage, data contracts, access controls and tenant-aware data handling Support product-level observability, performance optimisation, cost awareness and operational reliability What Were Looking ...

Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs and customer-facing analytics Build in data quality, lineage, metadata, and access controls from the start Build, shape and scale a modern AWS data platform You'll be part of the team turning platform strategy … from raw ingestion through to curated, business-ready products Create resilient data transformations that support reliable customer-facing analytics Embed governance by design, including metadata, lineage, data contracts, access controls and tenant-aware data handling Support product-level observability, performance optimisation, cost awareness and operational reliability What We're Looking ...

architectures, including generative AI, large language models, retrieval approaches and agentic AI. Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture. Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies … with executive and non-technical audiences. What Would Make You Stand Out: Experience working in financial markets. Experience applying AI to transform data management, metadata, governance, data quality, or data operations. Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network ...

data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. … designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform ...

with business, product, engineering, and senior domain leaders to strengthen data accountability and drive enterprise adoption of governance practices. Lead adoption of data governance, metadata, lineage, data product standards, and lifecycle management practices across the Data Marketplace. Establish and oversee data quality controls, metrics, risk management, and remediation activities … governance, management, or strategy initiatives within complex organizations. Proven success leading enterprise-scale data governance and stewardship programs across large, matrixed organizations. Experience implementing metadata management, lineage, data catalog, and data product practices within modern enterprise data ecosystems. Strong technical foundation across enterprise data platforms, data architectures, and advanced ...

their dashboards into an AI-ready form the agent can query cleanly and reliably. Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased. Knowledge Base Authoring – Author and maintain … your time, and make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms (e.g., Qlik ...

stewardship, standards and accountability. The Head of Data Governance will partner with Data Engineering, Data Analytics, BI, Risk, Audit and Compliance to strengthen quality, metadata, lineage and controls. Focused on adoption and trusted decision-making, the Head of Data Governance will help build a culture where data is consistently understood … regulatory metrics and core operational data Data Quality and Issue Resolution: Lead the resolution of data conflicts, inconsistencies and governance issues across business areas Metadata, Lineage and Traceability: Develop and maintain enterprise-wide metadata management, data lineage and traceability capabilities Risk, Audit and Compliance: Act as a key interface ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management . Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable: Experience in AI-related data preparation … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. WHAT YOU'LL LOVE ABOUT WORKING HERE As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates … standards, controls, ownership and stewardship models. Data Quality & Observability : working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis. Metadata Management : experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools. Master & Reference Data Management : understanding of relevant principles ...