1 to 25 of 68 Remote/Hybrid Metadata Management Jobs in the UK excluding London

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 ...

# Business Analyst – Information Management and Digital Transformation* Nuclear* Permanent/Digital* Bristol* United Kingdom* 03/07/26* On site* ShareI apply##️ **About Assystem** At Assystem, our mission is to accelerate the energy transition worldwide. Our 8,000 Switchers blend historical engineering expertise with cutting-edge digital … innovation and engineering excellence. Join a community committed to driving forward the future of energy.## Job Description The Job Mission: Business Analyst – Information Management & Digital TransitionAs a Business Analyst, you’ll work at the intersection of business, engineering, information management and technology, driving the success of complex, large ...

Data Governance Consultant Permanent Location: Home/Bristol (Hybrid) Salary: £75,000 - £80,000 (+ benefits) Skills: SC Clearance, Data Governance, Data Quality, Metadata Management, Data Lineage, Data Stewardship We are looking to recruit an SC Cleared Data Governance Consultant for a leading technology consultancy. You will work … with clients to establish and improve practical data governance frameworks, covering areas such as data quality, metadata, lineage, stewardship, policy and standards. The role will also involve supporting the responsible governance and assurance of AI solutions, although the core requirement is strong data governance experience. This is a client ...

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. ...

decision-making and greater operational effectiveness. We're building modern, scalable data capabilities that support both current business needs and future growth. The Data Management team plays a critical role in this journey, providing the standards, frameworks and controls that ensure data is trusted, governed and fit for purpose. … investing in new capabilities, ways of working and technology to build a strong data foundation for the future. About the role As Principal Data Management Lead, you'll act as a key subject matter expert for Enterprise Data Management, partnering with stakeholders across the organisation to improve ...

organisation is continuing to invest heavily in its data capabilities, with a strong focus on improving data quality, ownership, accountability and the overall management of critical business data. As Data Governance Manager, you'll play a key role in developing and embedding the organisation's data governance framework, ensuring … Owners, Data Stewards, technology teams and business stakeholders to establish clear governance standards, improve data quality and drive greater accountability around the use and management of data. This is a particularly exciting opportunity for someone who enjoys operating at both a strategic and hands-on level , with the opportunity ...

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 ...

involving some or all of the following areas:Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.Experience in project management methodologies, including Agile, Scrum, and Waterfall.Strong communication skills, with the ability to collaborate effectively with cross- functional teams and stakeholders.Excellent problem-solving, critical thinking … good understanding of Data/Information Governance principles and familiarity with processes, policies and any of the key vendor platformsExperience with Data Quality management, Master Data Management processes and Data ProfilingExperience with Management Information/BI Reporting delivery processesExperience managing project delivery including waterfall and/ ...

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 ...

implement best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data.Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data … architecture, or data warehousing roles.5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds).Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting.Technical Skills:Expertise in data modeling tools ...

best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data … data warehousing roles. 5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds). Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting. Technical Skills: Expertise in data modeling tools ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

testing, documentation, reusable components and agreed development practices. Work with platform, cloud, architecture, cyber security and information governance teams to meet requirements. Maintain documentation, metadata, data dictionaries, lineage and quality controls, and improve SWSDE standards, patterns and cloud capability. About us We are committed to creating an inclusive organisation … tools and technologies. Experience working with large-scale health, research, public sector or similarly complex datasets. Strong knowledge of data modelling, data quality assurance, metadata management and data validation techniques. Ability to analyse complex datasets, data structures and technical requirements and determine appropriate engineering approaches. Experience planning ...

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...

moving and processing data.Optimising data systems for performance, scalability, reliability, and monitoring.Information security including access controls, encryption, anonymity for sensitive data assets.Data governance, including metadata management, data quality, and lineage tracking.We are specifically looking for candidates with both technical and business focused skills, who can articulate the outcomes … experience that demonstrates modularity, reusability, and efficiency - across languages.Understanding full development lifecycle, SDLC concepts, version control, CI/CD pipelines.Knowledge of data security, governance, metadata management, master data principles.Communication skills, ability to understand business requirements and translate to technical data solutions.Connect to your business - Technology and TransformationDistinctive thinking ...

successful delivery, governance and ongoing integrity of critical data products. The successful candidate will play a key role in data testing, data quality assurance, metadata management and stakeholder engagement. You will be responsible for supporting new data product releases, investigating incidents and UAT defects, maintaining product documentation … Strong stakeholder engagement and communication skills Experience supporting governance, testing checkpoints and release activities Desirable Experience Insurance sector experience Experience with Collibra or similar metadata management tools Power BI experience Understanding of data governance and data lineage concepts Experience creating release documentation, communications and user guidance Exposure ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

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 ...

support to colleagues by offering training or upskilling in integration technologies where appropriate. Stay informed on industry trends and advancements in integration and data management technologies. Key Skills & Experience Required Essential: Bachelors/Post graduate degree. Proven experience in a relevant role, such as Integration Developer, Data Developer … Event Grid, Functions, or Data Factory). Understanding of enterprise integration patterns and familiarity with event-driven architectures. Knowledge of data quality, master data management, or metadata management concepts. Experience working with modern API management platforms. Exposure to Agile frameworks, such as SAFe Agile, Scrum ...

maintain data roadmaps aligned with organizational goals and technology strategies. Establish data architecture principles that promote scalability, performance, security, and accessibility. Data Integration & Management Design and develop data integration solutions and pipelines to consolidate data from multiple internal and external sources. Define and implement data flow, transformation, and storage … accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management ...

business objectives and measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models … create a shared understanding of scientific, research, preclinical, and clinical information across systems. Enable advanced analytics, scientific knowledge management, intelligent automation, and AI-powered decision support while ensuring compliance, data integrity, traceability, and governance across the R&D landscape. AI & Intelligent R&D: Identify and shape high-value opportunities ...