476 to 500 of 635 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 ...

quality documentation including BRDs, FRDs, user stories, business rules, and data mapping specifications. Define acceptance criteria and support governance artifacts such as KPI dictionaries, metadata definitions, and reporting standards. Contribute to consistent and repeatable data and reporting practices. Required Skills & Experience 6–10 years of experience in a Business Analyst … reporting requirements. Strong stakeholder management, communication, and facilitation skills. Preferred Qualifications Domain experience in Water Utilities or similar regulated industries. Familiarity with data governance, metadata management, and data quality frameworks. Experience working in Agile or hybrid delivery environments. Understanding of Lakehouse architectures and modern data platforms. #J-18808-Ljbffr ...

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 ...

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 ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineerto join our AI team. This position will work on a team to accomplish tasks and ...

data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs. … Reduce manual toil by investing in self-service onboarding, templates, and engineering enablement tooling. Implement end-to-end data lineage (source → platform → vendor), including metadata capture and a visual representation that supports auditability and faster incident resolution. Enhance observability across pipelines and services: logging, metrics, alerting, and dashboards; drive measurable ...

imaging analysis platforms and ML environments for science teams to work with. Automate the path for curating and harmonising imaging datasets. Parse and normalise metadata, validate incoming manifests against the agreed metadata standard, reconcile images against clinical/tabular and other biomarker data, and build quality and de-identification checks … models and the science need. Work with imaging leads to apply ML and AI techniques to ingestion, including by doing anomaly detection over metadata and series structure, using automated detection of missing, duplicate or mismatched studies, applying classifiers for burned-in pixel PHI, and building agent-driven triage of failed ...

Manager to lead the technical transformation of digital collection systems within Digital Reach. You will drive discovery, access and long-term preservation across digitisation, metadata interoperability and learning resources. Reporting to the Head of Digital Reach, you will collaborate with IT Services, cultural institutions and suppliers to maintain robust, sustainable ...

work from home and occasional in-person meetings. You will collaborate across teams, own end-to-end projects and help evolve standards for metadata and storage. #J-18808-Ljbffr ...

passionate about data and making a difference in the public sector? The National Archives is looking for a talented data specialist to transform archival metadata bringing history to life. About Us: At The National Archives, multidisciplinary and interdisciplinary research into all aspects of our collections and activities ...

tools, IT and collections management systems, and techniques for digital preservation Practical experience in implementing and working with tools of digital preservation, including systems, metadata standards, data structure standards and models Working knowledge of storage and file system management Understanding of compliance with GDPR Ability to communicate effectively with technical ...

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 … 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 generation, curation ...

scalable data foundation for UCB’s R&eD organization to deliver re-usable and AI-ready data products for the entire company. Implement scalable metadata management technologies to improve data quality, lineage, and discoverability Oversee system interdependencies, scale transversal solutions, and ensure compliant operations. Interact closely with scientists and data … registries, modeling & analytics, ...), and experience with integrating these in a data foundation architecture. Good understanding of scientific data formats and types, data management, metadata governance and data modelling Experience applying AI-driven approaches to data or metadata management Strong understanding of structured and unstructured data management Understanding of pharmaceutical ...

across complex data and application estates. Work closely with enterprise architects, engineering teams, security, suppliers and senior stakeholders. Provide expertise across data governance, integration, metadata, data virtualisation and data products . Support the adoption of modern data technologies across AWS, Azure, on-premise and SaaS environments . Contribute to architecture … knowledge of AWS and/or Azure architecture . Experience with architecture governance, design assurance and strategic roadmapping. Understanding of modern data platforms, integration, metadata and data products. Strong stakeholder management and influencing skills. Experience working across multiple technical teams, suppliers and business functions. Experience within a large, regulated ...

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 ...

opportunities. About the Role As a Data Governance Coordinator, you will help ensure that data assets are managed effectively as products, with governance, quality, metadata, and standards consistently applied across the data estate. Acting as a key link between central data capabilities and Data Stewards, you will support the adoption … data governance standards and elevate where standards are not met Embed governance requirements into delivery and change processesDrive the completeness, quality, and discoverability of metadata and catalogue information Monitor data quality outcomes, identify gaps, and support prioritisation of issues Promote transparency through the capture of data lineage and coordination across ...

Hybrid Work Model.# **Job Description**# **Key Responsibilities May Include:*** Lead the development, implementation, and scaling of core data management capabilities, including data quality, metadata, master and reference data, content and document management, and data storage and operations.* Coordinate delivery of data management activities across business, technology, legal, compliance … activities required to embed new data management practices, data literacy and data-driven ways of working.* Work with accountable owners to ensure data quality, metadata, master data, governance and control requirements are transitioned into sustainable BAU practices.**Benefits Realisation & Reporting*** Define and track transformation outcomes, maturity improvements, risk reduction, adoption ...

opportunities. About the Role As a Data Governance Coordinator, you will help ensure that data assets are managed effectively as products, with governance, quality, metadata, and standards consistently applied across the data estate. Acting as a key link between central data capabilities and Data Stewards, you will support the adoption … governance standards and upscale where standards are not met Embed governance requirements into delivery and change processes Drive the completeness, quality, and discoverability of metadata and catalogue information Monitor data quality outcomes, identify gaps, and support prioritisation of issues Promote transparency through the capture of data lineage and coordination across ...