1 to 25 of 203 Metadata Management Jobs in England

Data Management Manager Location: Manchester Salary : Competitive salary package depending on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Manager to join our Data & AI Practice. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience … allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. As a Data Management Manager, you will be responsible for designing and implementing metadata More ❯

to the implementation of data administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise … in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency and lifecycle management across SAP modules and related systems. Support data cleansing, enrichment, and harmonization … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to More ❯

to the implementation of data administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise … in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency and lifecycle management across SAP modules and related systems. Support data cleansing, enrichment, and harmonization … design and implementation of SAP MDG for centralized master data governance. Collaborate with SAP functional teams to align data structures with evolving business processes. Data Governance & Stewardship Support: Support metadata management, enrichment and cataloging activities Collaborate with business units to: define data ownership, stewardship, and maintenance processes. Monitor and resolve data discrepancies, duplication, and integrity issues. Contribute to More ❯

We have one open position of Data Management Specialist with one of our client based at Edinburgh, Scotland, United Kingdom. This is a Permanent/Contract role. Below is the job description for your reference. Please share your application once you are interested. Role: Data Management Specialist Mode: Permanent/Contract Location: Edinburgh, Scotland, United Kingdom Hybrid Job … Description: Key Responsibilities: Act as the Subject Matter Expert SME for Securities Operations and Data Management with specific focus on Reference Data Instrument Issuer Counterparty and Master Data Client Account Legal Entity domains Partner with Front Office Operations and Technology teams to define and refine data models hierarchies and integration points across trading settlement and custody systems Lead or … on data lineage usage and dependencies across Security Services operational platforms Drive process improvement initiatives within Securities Operations to enhance data accuracy automation and straightthrough processing STP Support change management including user acceptance testing UAT documentation and training for global operations teams Represent Operations in governance forums related to data strategy data ownership and metadata management Required More ❯

Job Title-Security Services Operations SME Reference Master Data Management Experience Business Division:Investment Banking Operations Security Services Role Overview The Security Services Operations SME will be responsible for providing domain and operational expertise across the banks Reference Data and Master Data programs ensuring highquality data governance process optimization and alignment with strategic transformation initiatives The role requires deep … implement and optimize enterprisewide data models and workflows supporting securities reference and client master data Key Responsibilities Act as the Subject Matter Expert SME for Securities Operations and Data Management with specific focus on Reference Data Instrument Issuer Counterparty and Master Data Client Account Legal Entity domains Partner with Front Office Operations and Technology teams to define and refine … on data lineage usage and dependencies across Security Services operational platforms Drive process improvement initiatives within Securities Operations to enhance data accuracy automation and straightthrough processing STP Support change management including user acceptance testing UAT documentation and training for global operations teams Represent Operations in governance forums related to data strategy data ownership and metadata management Required More ❯

Security Services Operations SME – Reference & Master Data Management Location: Edinburgh (Hybrid – 2 days on-site) Contract Type: Permanent/FTE (1-Year Duration) Rate: Market Standard Business Division: Investment Banking – Operations/Security Services Role Overview We are seeking a Security Services Operations Subject Matter Expert (SME) with deep experience in Reference and Master Data Management to support … design, enhance, and implement enterprise-wide data models and workflows that underpin securities reference and client master data. Key Responsibilities Serve as the SME for Securities Operations and Data Management, focusing on Reference Data (Instrument, Issuer, Counterparty) and Master Data (Client, Account, Legal Entity). Partner with Front Office, Operations, and Technology teams to define and optimize data models … into data lineage, dependencies, and usage across Security Services operational platforms. Drive process improvement and automation initiatives to enhance data accuracy and straight-through processing (STP). Support change management, including UAT execution, documentation, and training for global operations teams. Represent Operations in data governance forums covering data ownership, metadata management, and strategy alignment. Required Skills & Experience More ❯

Security Services Operations SME – Reference & Master Data Management Experience Location: Edinburgh - Hybrid Business Division: Investment Banking – Operations/Security Services Role Overview: The Security Services Operations SME will be responsible for providing domain and operational expertise across the bank’s Reference Data and Master Data programs, ensuring high-quality data governance, process optimization, and alignment with strategic transformation initiatives. … and optimize enterprise-wide data models and workflows supporting securities reference and client master data. Key Responsibilities: Act as the Subject Matter Expert (SME) for Securities Operations and Data Management , with specific focus on Reference Data (Instrument, Issuer, Counterparty) and Master Data (Client, Account, Legal Entity) domains. Partner with Front Office, Operations, and Technology teams to define and refine … lineage , usage , and dependencies across Security Services operational platforms. Drive process improvement initiatives within Securities Operations to enhance data accuracy, automation, and straight-through processing (STP). Support change management , including user acceptance testing (UAT), documentation, and training for global operations teams. Represent Operations in governance forums related to data strategy , data ownership , and metadata management . More ❯

senior leadership. Champion data literacy and promote a culture of responsible data use organization-wide. Support the development of an AI Governance framework. Assist in data classification, master data management, metadata management, and data lineage efforts alongside data architects and analysts. Key Skills & Experience: Essential: Proven experience in data governance or data management roles. Strong understanding … of data quality, metadata, master data, and data lifecycle management. Excellent communication skills with the ability to simplify complex data concepts for business audiences. Demonstrated ability to engage and influence stakeholders at all levels, including senior executives. Experience in facilitating cross-functional collaboration and achieving consensus. Familiarity with data protection regulations (e.g., GDPR, EU Data Act). Proficiency in … data governance tools (e.g., Collibra, Informatica, Alation). Desirable: Certification in Data Governance or Data Management (e.g., DAMA, DCAM). Experience in change management and organizational transformation. Background in data analytics, business intelligence, or IT. Personal Attributes: Strategic thinker with a hands-on approach. Empathetic and adaptable communicator. Strong problem-solving and decision-making capabilities. Collaborative mindset focused More ❯

strategy, ensuring our data is accurate, secure, consistent, and compliant with regulatory standards. You will work across business and technical teams to embed best practices in data ownership, quality, metadata management, and stewardship. This is a strategic and hands-on role, ideal for someone passionate about data and its role in driving business value and regulatory compliance. Data … councils and working groups. Define and monitor data quality rules and manage exceptions. Ensure alignment with regulatory requirements (e.g., GDPR, BCBS 239, DORA). Oversee data lineage, cataloging, and metadata management using tools such as Collibra, Informatica, Microsoft Purview, or Alation. Support governance integration within platforms like Azure, Databricks, Microsoft Fabric, and BI tools. Promote data literacy and … exams. Report on data governance KPIs and maturity models to senior leadership. Data Governance Implementation Manager Required Skills and Experience: Proven experience in data governance, data quality, or data management within financial services. Experience with cloud platforms (Azure) and modern data stacks. Experience with data governance tools - Microsoft Purview preferred. Solid understanding of data architecture, modelling, and integration technologies. More ❯

The role of Data Governance/Data Management Manager involves leading and enhancing data governance frameworks within the not-for-profit sector. Based in Coventry (but fully remote), this permanent position focuses on ensuring the organisation's data is effectively managed and utilised. Client Details This is a not-for-profit organisation with a strong presence in the UK. … and rely on data-driven insights to guide their initiatives. Description Develop and implement data governance policies and practices. Establish policies, standards, and procedures for data quality, integrity, data management and meta data management. Set up roles and responsibilities (e.g., data owners, stewards, custodians). Metadata and Master Data Management, Oversee metadata management practices and … IS and the Architects to Integrate governance within existing data architecture and platforms Oversee data quality and ensure compliance with regulatory standards. Collaborate with analytics teams to optimise data management processes. Own and develop the business rules and reference data Strategy for working with relevant teams across the business especially in the Data Insights and IS teams Lead initiatives More ❯

The role of Data Governance/Data Management Manager involves leading and enhancing data governance frameworks within the not-for-profit sector. Based in Coventry (but fully remote), this permanent position focuses on ensuring the organisation's data is effectively managed and utilised. Client Details This is a not-for-profit organisation with a strong presence in the UK. … and rely on data-driven insights to guide their initiatives. Description Develop and implement data governance policies and practices. Establish policies, standards, and procedures for data quality, integrity, data management and meta data management. Set up roles and responsibilities (e.g., data owners, stewards, custodians). Metadata and Master Data Management, Oversee metadata management practices and … IS and the Architects to Integrate governance within existing data architecture and platforms Oversee data quality and ensure compliance with regulatory standards. Collaborate with analytics teams to optimise data management processes. Own and develop the business rules and reference data Strategy for working with relevant teams across the business especially in the Data Insights and IS teams Lead initiatives More ❯

s data ecosystem. Design and oversee a robust data governance framework that ensures quality, consistency, and compliance across all university data assets; implement clear policies for data access, lineage, metadata management, and security in alignment with regulatory and ethical standards. Create and manage a multi year roadmap for implementing the university's data strategy, including measurable milestones and … across the academic and administrative community. Lead the modernization and migration of legacy systems to cloud native or hybrid data architectures, enabling scalability and performance. Oversee the design and management of enterprise data warehouses and data lakes, supporting both structured and unstructured data. Essential Functions Note This list is not intended to be an exhaustive list. The University may … assign additional related duties as necessary. Management Responsibilities Provides strategic leadership and supervises others who supervise. Responsible for hiring, training, developing, managing performance, administering corrective action, making compensation decisions, and managing strategic views at a high level. Additional Functions Collaborate with Information Security, IT Infrastructure, and Research Computing teams to ensure seamless integration of cloud and on premises solutions. More ❯

programme. Key Responsibilities Lead technical architecture and solution design for data products and open data services Provide design leadership across a multi-disciplinary team Apply expertise in data cataloguing, metadata management, and open/licensed data portals Leverage understanding of AI developments to shape and enhance data services Work with open source tools and cloud infrastructure (AWS, Terraform … of 7-8 and a wider programme of 50 Essential Skills & Experience Proven experience with data products and open/licensed data portals Knowledge of data cataloguing systems and metadata management Familiarity with CKAN or similar platforms Strong solution architecture and technical design capabilities Experience leading multi-disciplinary teams Cloud and infrastructure experience (AWS, Terraform) Programming skills in More ❯

Data Management Consultant Location: London Salary : Competitive salary package depending on experience Career Level: Consultant/Specialist, Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Consultant to join our Data & AI Practice. As a Data Management Consultant, you will be responsible for designing and implementing Master Data Management (MDM) solutions that support … business and technical stakeholders to ensure that MDM strategies align with organizational goals and deliver measurable value. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data More ❯

Data Management Specialist (Purview) Location: Hybrid (with some presence required at Bournemouth office) Contract: 12-month Fixed Term Contract Salary: £68,0000 - Bonus, PHC, double match pension, 38 days holiday Are you ready to shape the future of data in financial services? We’re looking for a passionate Data Management Specialist to lead a greenfield implementation of Microsoft … Purview and help drive an enterprise-wide data transformation. This is an exciting opportunity to embed best-in-class data practices and governance across a dynamic organisation. Data Management Specialist (Purview) What You’ll Do Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such … as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance, and business teams to ensure data quality, consistency, and compliance. Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239). Act as a technical advisor More ❯

Data Management Specialist (Purview) Location: Hybrid (with some presence required at Bournemouth office) Contract: 12-month Fixed Term Contract Salary: £68,0000 - Bonus, PHC, double match pension, 38 days holiday Are you ready to shape the future of data in financial services? We're looking for a passionate Data Management Specialist to lead a greenfield implementation of Microsoft … Purview and help drive an enterprise-wide data transformation. This is an exciting opportunity to embed best-in-class data practices and governance across a dynamic organisation. Data Management Specialist (Purview) What You'll Do Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such … as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance, and business teams to ensure data quality, consistency, and compliance. Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239). Act as a technical advisor More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

analytical business needs. Lead domain-driven data modeling efforts across conceptual, logical, and physical layers to ensure data designs reflect business domains and processes. Define and oversee Master Data Management (MDM) strategies, including tool selection, vendor evaluation, implementation, and adoption across the enterprise. Establish and maintain reference data management frameworks and governance processes. Develop and execute data strategies … including future state architecture, data governance, metadata management, data privacy, reference data management, and data integration. Lead the design and review of data architectures for both operational platforms (APIs, event streams, transactional systems) and analytical platforms (data lakes, warehouses, reporting). Establish and enforce data architecture standards, principles, and best practices across operational and analytical domains. Drive … transactional data flows. Strong background in data modeling (conceptual, logical, physical) with a focus on domain-driven design (DDD). Proven ability to select, implement, and scale Master Data Management (MDM) solutions, including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data More ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture More ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture More ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture More ❯

knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project lifecycles (Discovery, Alpha, Beta, Live). Strong understanding of API design, event-driven architecture More ❯