1 to 25 of 103 Permanent Metadata Management Jobs in the UK

Data Management Associate Manager Location: Glasgow Salary : Competitive salary package depending on experience Career Level: 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 … 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 Associate 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. More ❯

key operational role, which supports the CIO and Head of Data (Framework Owner) responsibilities for development, implementation and day-to-day operation of Data Management Frameworks. Specifically, this involves activities related to metadata management, data harmonisation, data quality score carding, data quality issue analysis, data profiling and … document business glossary definitions, taxonomies, ontologies and alignment to Handelsbanken Group conceptual data models and standards. Contribute to the development and maintenance of the metadata management system and data dictionaries, working collaboratively with data owners and their teams. Document source to target technical data lineage and data quality … as construct solutions. Interpret data flows and models to understand lineage gaps and resolve missing data quality controls. Apply best practice data quality and metadata management principles to resolve data quality issues and address underlying causes. Support the development of trusted sources for critical data, working with other More ❯

Office About the Role: We're on the hunt for a Data Governance & Quality Lead for our global Financial Services client to drive data management activities in their Capital Markets business area. The Data Lead will be responsible for leading the thought leadership for one or more of the … Data Management Specialisms (Metadata Management, Data Quality, Data Access Management, etc.). What You'll Do: Lead one of the 9 delivery streams and bring priority datasets under governance by completing Metadata, Data Quality and Data Access & Sharing Management activities by working together with … BAs, key business SMEs and Technology Leads. Metadata Management includes Defining the in-scope data assets, CDE Identification, mapping CDEs to Glossary and proposing new Glossary Terms when applicable and identifying critical consumers of the data. Data Quality Management includes Analysing data via data profiling, defining Business More ❯

etc. About the Role: We're on the hunt for a Data Governance & Quality Lead for our global Financial Services client to drive data management activities in their Capital Markets business area. The Data Lead will be responsible for leading the thought leadership for one or more of the … Data Management Specialisms (Metadata Management, Data Quality, Data Access Management, etc.). What You'll Do: Lead one of the 9 delivery streams and bring priority datasets under governance by completing Metadata, Data Quality and Data Access & Sharing Management activities by working together with … BAs, key business SMEs and Technology Leads. Metadata Management includes defining the in-scope data assets, CDE identification, mapping CDEs to Glossary and proposing new Glossary Terms when applicable and identifying critical consumers of the data. Data Quality Management includes analysing data via data profiling, defining Business More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

Job Description Are you experienced within data management and have strong analytical skills? Then you found the right position for you! As a Data Management Vice President, within the Chief Data Office (CDO), you will be focused on delivering business impact through transformation of Data Quality management. You … and corporate functions to support data quality efforts Provides data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis Accelerates data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data … Tableau/Qlikview to analyze large datasets to draw inferences Required qualifications, capabilities, and skills Experience in financial services with data analytics/data management/project management/business analysis Strong understanding of data governance, data quality, data lineage and metadata management concepts Experience in More ❯

orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in … designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data … Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform More ❯

orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in … designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data … Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform More ❯

orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in … designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data … Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform More ❯

orIT Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization. 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake). Provenexpertise in … designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics. Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards. Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement. Familiarity withmodern data … Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases. Collaboration& Stakeholder Management: Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram. DataPlatform More ❯

impacts on the future-state enterprise data architecture. Champion efforts to improve business performance through enterprise information solutions and capabilities, such as master data management, metadata management, business intelligence, content management, data integration, and related information management or information infrastructure components. Coordinate the implementation of … enterprise data architecture through the organisation's enterprise data management programmes and govern data architects in the appropriate data modelling and data design activities. Facilitate the development of a corporate data policy that outlines the appropriate data stewardship and data requirements, as well as the service-level agreements, to … Prepare conceptual and logical subject area models and implementation-level details that affect the continuum of disciplines involved in the architecture, design, implementation, and management of enterprise information. Knowledge & Experience: Degree level educated or equivalent project-related experience. Experience in large multinational financial services industry. Experience within an enterprise More ❯

creating technical design documentation that reflects data standards Continually researching emerging technologies and best practices to ensure standards are maintained Understand a variety of metadata management tools and can design/maintain the appropriate metadata repositories to enable the NHSBSA to understand their data assets Collaborate with … researching emerging technologies and best practices to ensure standards are maintained. Creating technical design documentation that reflects the data standards. Understanding a variety of metadata management tools and can design and maintain the appropriate metadata repositories to enable the organisation to understand their data assets Recommending suitable … terminology and metadata standards and supporting the management of coherent, consistent, and accessible data dictionaries Logging, analysing, and managing problems in order to identify and implement the appropriate solution ensuring that the problem is fixed. Undertaking data profiling and source system analysis, presenting clear insights to colleagues to More ❯

stakeholders and analysts to design and develop both logical and physical data models, illustrating relationships and business logic to transform and structure data effectively. Metadata Management: Collect and manage metadata, ensuring it is integrated into relevant systems and solutions to enhance usability and data accessibility. Engineering Support … Collaborate with the data governance team to review and document data quality issues. Establish and implement reconciliation techniques alongside the data governance team. Gather metadata from the business to integrate into tools such as Purview and Power BI. Participate in the design of data warehouses/data marts, working … products, including Databricks, Microsoft Fabric, and Azure SQL Server. Strong background in IT development processes and delivery lifecycles, including development methodologies, release strategies, configuration management, and tools across the entire project lifecycle. Experience working within an Agile environment, delivering outcomes within defined Sprints, and familiarity with Agile principles and More ❯

We are looking for a Data Governance Manager to join our team at Sizewell C. This role is pivotal in ensuring that our data management practices align with industry standards and regulatory requirements. As a Data Governance Manager, you will be defining and delivering our data governance framework and … and its supply chain to effectively own and govern its critical data. Working across the business to define, assure and improve our data quality, metadata, master data and data security. You will collaborate with multiple stakeholders, including data owners, IT teams, and regulatory bodies, to establish effective data management … of master data and assuring compliance throughout the business Support IT with the selection & deployment of fit-for-purpose MDM solution to support data management, sponsoring and ultimately owning this solution. Coordinate data stewards and data owners across SZC to maintain master data definitions, and change control our critical More ❯

We are looking for a Data Governance Manager to join our team at Sizewell C. This role is pivotal in ensuring that our data management practices align with industry standards and regulatory requirements. As a Data Governance Manager, you will be defining and delivering our data governance framework and … and its supply chain to effectively own and govern its critical data. Working across the business to define, assure and improve our data quality, metadata, master data and data security. You will collaborate with multiple stakeholders, including data owners, IT teams, and regulatory bodies, to establish effective data management … of master data and assuring compliance throughout the business Support IT with the selection & deployment of fit-for-purpose MDM solution to support data management, sponsoring and ultimately owning this solution. Coordinate data stewards and data owners across SZC to maintain master data definitions, and change control our critical More ❯

related business requirements are clearly defined, communicated, well understood and considered as part of operational prioritisation and planning Contribute to the development of Data Management capabilities such as metadata management, data quality management, consent management and data modelling Support business units in implementing Data Governance … of the data assets lifecycle Help operationalise regulatory requirements on data assets and proactively provide support on regulatory requirements (data protection, information security, risk management, etc.) Ensure that Data Governance activities are aligned with Finance requirements for regulatory reporting and support financial controls Examples of Key Activities Defining, communicating … data is managed properly, according to policies and best practices Leading and managing Data Governance activities Creating and managing the Data Governance framework Line Management of Data Quality Analyst Supporting the data team with the implementation and ongoing improvement of the enterprise data platform Defining and monitoring Just Group More ❯

Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness. Stay abreast of industry trends and emerging technologies in data management and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define … data dictionaries, data lineage, and metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting, transforming, and loading data from diverse sources (e.g., APIs, databases, financial data providers). Work closely with … and implement data quality monitoring processes. Ensure compliance with relevant data privacy regulations and security standards. Technology Evaluation & Selection: Evaluate and recommend appropriate data management technologies and tools for the platform. Conduct proof-of-concepts and technical evaluations to validate technology choices. Work with vendors and partners to ensure More ❯

want to login/join with: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building … Passionate about data quality and continuously improving processes Experienced in SAS , SQL, Power BI, and other analytics tools Skilled in data governance, lineage, and metadata management Familiar with regulatory frameworks like GDPR, BCBS, CCPA #J-18808-Ljbffr More ❯

The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What … Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯

be responsible for the design, implementation, upgrades and enhancements of technology solutions across the data domain. You will provide technology and data leadership and management, growing our engineering and data capabilities to deliver our technology and data strategy. Our Data Architects are player-coaches, so you’ll be comfortable … secure solutions. You will have in-depth knowledge & experience of the following: Strong technical background with extensive experience in data and application engineering. Line Management and engineering team leadership and development (including 3rd parties). Proven experience in Data and working with Data stakeholders. Knowledge and understanding of Data … Management principles, including Data Design & Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance. Demonstrable experience of pragmatic approaches to Data engineering across data and reporting technologies including: Data Lake, Data Bricks, DBT, cloud platforms such as Azure and AWS. Our Customer More ❯

role requires strong communication skills to collaborate effectively with both technical and non-technical stakeholders. You will be responsible for data governance, data modelling, metadata management, and ensuring compliance with data standards. Key Responsibilities: 1. Data Architecture & Engineering Design and implement scalable data architectures that align with business … Governance & Compliance Ensure adherence to data governance policies and regulatory requirements. Monitor and maintain compliance with data standards and security measures. Develop and manage metadata repositories for accurate data tracking and integration. Support data assurance processes and provide recommendations for compliance improvements. 3. Data Analysis & Communication Conduct data profiling … Collaborate across multidisciplinary teams and advocate for data best practices. 4. Problem-Solving & Innovation Identify and address data-related issues using analytical and problem-management techniques. Explore innovative tools and methodologies for improving data processes. Support strategic planning by aligning data solutions with business goals. Analyze and mitigate the More ❯