26 to 50 of 236 Metadata Management Jobs in the UK

informed 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.Working … that is investing in new capabilities, ways of working and technology to build a strong data foundation for the future.About the roleAs 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 ...

streams of work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards.Job ResponsibilitiesEngage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions.Design and assess end-to-end solution … architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration.Apply AI tools and techniques to improve Solution Architecture practices — including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation.Ensure full ...

work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards. Job Responsibilities Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. Design and assess … solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling, and architecture ...

work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards. Job Responsibilities Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. Design and assess … solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling, and architecture ...

engagements are predominantly with organisations facing important transitions. Engagements are typically driven by business unit leaders, CDOs, COOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. … huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with Data Management expertise to join us, working in fast-paced teams with talented colleagues across the UK and Deloitte’s wider delivery network.We encourage consideration of flexible ...

enable trusted data and responsible AI at scale. Your expertise will help organisations unlock the value of their data assets through robust governance, metadata management, and strategic planning. YOU WILL: Design and implement Data Governance and AI Governance operating models aligned to business objectives and regulatory requirements. Define … governance frameworks covering data quality, metadata, lineage, stewardship, ownership, retention and access management. Help clients establish governance councils, stewardship forums, decision rights and accountability structures. Develop policies, standards, controls and governance processes that support trusted data and responsible AI adoption Assess organisational readiness for AI adoption and define governance ...

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/ ...

that celebrates diverse perspectives and fosters continuous learning.Job Summary:As a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … identification to resolution, improving client experience and driving operational efficiencyDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

MetadataLocation: Fareham, once every 2 weeks Contract Type: Permanent, Full-TimeSalary: upto 60.000Start Date: ASAPAbout the RoleWe are looking for a Data Governance Analyst - Metadata to join a growing Data Governance team and play a key role in strengthening a data-driven culture across the business.Working within the metadata pillar, you will help deliver and enhance metadata services that support trusted, well-managed, and discoverable data and AI products. This is an exciting opportunity to work with industry-leading tools, including Collibra and Databricks Unity Catalog, while contributing to strategic data capabilities that directly support business decision ...

culture that celebrates diverse perspectives and fosters continuous learning.Job Summary:As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … identification to resolution, improving client experience and driving operational efficiencyDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

relationships. You will continually refine these models to meet AI use cases and evolving business requirements.Data Storage Architecture: Define and implement data storage and management patterns that optimise data retrieval and analytics performance. This involves selecting or designing appropriate storage solutions (e.g. relational databases, NoSQL/graph databases, data … efficiency.Data Governance & Quality: Establish and enforce data governance policies and standards. This means defining practices for data quality, data cleaning, and master data management, as well as setting security and privacy controls to protect sensitive information. You will ensure compliance with relevant data regulations and implement data security measures ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation’s governance strategy and operating model. Success in this role will be measured … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. … artefacts and documentation. Assess impacts to applications, data assets and business processes. Ensurearchitectural implications of change are understood and appropriately managed. Vendor and Supplier Management Support supplier engagement and technical governance activities. Provide guidance relating to licensing implications and technology adoption. Maintain effective engagement with strategic technology partners ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. … documentation. Assess impacts to applications, data assets and business processes. Ensure architectural implications of change are understood and appropriately managed. Vendor and Supplier Management Support supplier engagement and technical governance activities. Provide guidance relating to licensing implications and technology adoption. Maintain effective engagement with strategic technology partners and vendors. ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. … documentation. Assess impacts to applications, data assets and business processes. Ensure architectural implications of change are understood and appropriately managed. Vendor and Supplier Management Support supplier engagement and technical governance activities. Provide guidance relating to licensing implications and technology adoption. Maintain effective engagement with strategic technology partners and vendors. ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. … documentation. Assess impacts to applications, data assets and business processes. Ensure architectural implications of change are understood and appropriately managed. Vendor and Supplier Management Support supplier engagement and technical governance activities. Provide guidance relating to licensing implications and technology adoption. Maintain effective engagement with strategic technology partners and vendors. ...

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 ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks ...

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 ...

governance function, sitting within a technology risk and controls team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance … architecture, technology, risk and compliance teams, turning complex regulatory and metadata requirements into robust models and platform-ready solutions. What You'll Do Design, enhance and maintain asset models within a leading metadata management platform, configuring asset types, relations, attributes, domains and workflows. Develop high-quality Python ...