26 to 50 of 60 Metadata Management Jobs in the UK

solutions Ensuring data quality, security, and GDPR compliance Providing technical coaching and mentoring to data professionals Evaluating emerging data technologies and recommending adoption Supporting metadata management and Master Data Management (MDM) initiatives What you'll need to succeed Bachelor's degree in a relevant field or equivalent … experience Proven experience in enterprise-wide data architecture Deep understanding of data architecture principles, data modelling, metadata and MDM Experience with cloud platforms (Azure, AWS, Google Cloud) Strong SQL skills; Python desirable Excellent cross-functional stakeholder engagement Ability to lead on data governance, quality, and compliance Experience delivering data ...

Amentum is a global leader in engineering, project and programme management, and solutions integration. Built on strong programme and engineering delivery experience, supported by deep specialist capabilities, Amentum is a recognised partner across major UK Government and commercial programmes. People are at the centre of what we do. … approaches (e.g. APIs, data pipelines, event‐driven architectures) to enable interoperability across Defence systems. Establish and support data governance frameworks, including data quality, metadata, lineage, and master data management practices. Contribute to AI/data governance principles, emerging technology assessments, and horizon scanning activities. Support the development ...

approaches (e.g. APIs, data pipelines, event-driven architectures) to enable interoperability across Defence systems. Establish and support data governance frameworks, including data quality, metadata, lineage, and master data management practices. Contribute to AI/data governance principles, emerging technology assessments, and horizon scanning activities. Support the development … design, and in-service improvement phases. Experience defining and implementing data strategies, governance frameworks, and standards, including understanding of data governance disciplines (data quality, metadata management, lineage, cataloguing). Strong expertise in data modelling (conceptual, logical, physical) and data architecture design, data integration approaches (ETL/ELT pipelines ...

open table formats (Apache Iceberg, Delta Lake), data observability tools, and real-time/streaming architecturesExperience with data governance frameworks, data quality tools, metadata management, and ensuring compliance with security and regulatory requirementsPersonal AttributesStrong business acumen with ability to translate business requirements into technical architecture and understand ...

solutions Ensuring data quality, security, and GDPR compliance Providing technical coaching and mentoring to data professionals Evaluating emerging data technologies and recommending adoption Supporting metadata management and Master Data Management (MDM) initiatives What you'll need to succeed Data modelling Data dictionaries Good understanding of data architecture … principles Exposure to data quality management and profiling to be hands on, but understanding of data cleansing etc ETL design and orchestration Experience in data migration and implementation CRM dynamics would be great, but not essential Experience in data warehousing Comfortable with engaging with technical and non technical stakeholders ...

data owners to deliver governed, high‐quality data that enables scalable analytics and AI use cases. Job Responsibilities Lead the design, build, and ongoing management of the Trade and Working Capital data dictionary, including standardized definitions, lineage, and ownership. Own the execution of the datalake migration plan, coordinating dependencies … Databricks, including data modeling approaches, performance considerations, and operationalization patterns. Proven experience leading datalake migrations or major data platform transitions, with disciplined delivery management and stakeholder alignment. Deep understanding of data governance concepts, including metadata management, lineage, stewardship, and data quality frameworks. Expertise in dashboard/reporting ...

expertise who enjoys working closely with business stakeholders and technical teams. Key Responsibilities Create conceptual, logical and physical data models Develop ER diagrams and metadata structures Work with business stakeholders to understand data requirements Support data warehousing and semantic modelling initiatives Collaborate with BI, analytics and DBA teams Ensure … data quality, governance and model optimisation Maintain metadata, lineage and modelling standards Required Skills & Experience Strong experience in Data Modelling/Data Analysis Advanced SQL skills Experience with logical and physical data modelling Strong understanding of data warehousing principles Experience creating ERD/ER diagrams Metadata management ...

data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata management Architecture & M&A Experience Proven experience in M&A data integration, platform consolidation, or carve-outs Experience designing multi-cloud or hybrid ...

delivery projects. Designing end-to-end data architectures and producing clear, high-quality design artefacts. Leading and directing data engineering teams, including line management responsibilities. Acting as a trusted technical advisor to clients on data architecture, strategy and governance. Contributing to reusable data platforms, technical standards and practice capability. … Studio or AWS Glue. Advanced data modelling, transformation and querying skills using languages such as SQL and Python. Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data Catalog, Informatica IDQ or Talend Data Quality. A strong track record of leading ...

Overview The Head of Data Solutions leads the strategy, development, and lifecycle management of data products across Gallagher. This role ensures high quality, trusted, and scalable data assets are delivered to support the UK Business and corporate reporting and analytical needs to enable business objectives. The role blends product … leadership, data strategy, and stakeholder management to turn data into measurable business value. This role will report to the UK Chief Data Officer to support the UK data strategy and align with the global Enterprise Management team to support the global data strategy. The role will be based ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Experience with data governance frameworks, metadata management, and regulatory compliance It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing … metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake ...

assessments, and business cases for proposed solutions. Skills Required Essential: Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Experience in establishing data analytics and supporting AI solutions. Data quality/validation experience: designing … metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments such as Databricks, Snowflake ...

Senior Data Management Professional - Data Modeling - Credit Data Location London Business Area Data Ref # 10048869 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. … covering both established production implementations and newer semantic and graph‐based approaches Translate product and business requirements into well‐structured, interoperable data models and metadata solutions, that work across datasets and delivery platforms Partner closely with Product, Engineering, and SMEs to co‐design data models that balance legacy constraints ...

services group in the HE sector, and we are growing our team’s capability in AI, experience/UX, agile development, security, cloud, service management and partnering. We are modernising our technology foundations, digitising the processes of the university to transform experience for students and staff, and partnering across … record of designing and governing large‐scale data and integration solutions across analytics and operational systems. Deep understanding of data governance, including data quality, metadata management, stewardship, and architectural assurance. Experience designing API‐led and event‐driven integration architectures. Practical experience architecting AI‐enabled data solutions, with ...

Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview) Experience designing or integrating solutions across AWS environments Strong understanding of data security, access controls, and information assurance Confident working ...

high-profile central government data programme. This role focuses on establishing and embedding robust data governance frameworks, ensuring data quality, compliance, and effective data management across complex government environments. This is a hands-on leadership role, working closely with data architects, engineers, analysts, and senior stakeholders to drive best … practices in data governance, metadata management, and regulatory compliance across enterprise-scale platforms. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Data Governance Manager within central government or regulated environments Strong understanding of data governance frameworks (e.g. DAMA-DMBOK, DCAM) Experience ...

frameworks Act as a senior leader in cross ‐ functional forums, influencing strategy and decision ‐ making using actionable insight and BI best practice Leadership & Stakeholder Management: Lead, mentor, and develop a high ‐ performing team of BI professionals, setting clear expectations and fostering a culture of excellence, collaboration, and continuous improvement … with senior business leaders, acting as a strategic partner to help teams utilise data effectively and make informed decisions Own team capacity planning, workload management, and prioritisation to ensure efficient delivery against business demand Champion BI capability uplift across the organisation, enabling teams to adopt self ‐ service analytics confidently ...

strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support … implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with ...

migrations, and deliver best-practice modelling solutions aligned to industry standards. What You’ll Do Conduct business analysis to define data requirements and support metadata management Design and deliver conceptual, logical, and physical data models for complex data programmes Identify data entities and relationships and map source … standards (conceptual, logical, physical) Familiarity with financial reference models such as fpML, FIX, or FIBO Skilled in data model documentation, stakeholder engagement, and metadata practices Understanding of RDBMS, UML, JSON/XML schemas, and project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such ...

support teaching, research, administration, and strategic decision-making. As a Data Architect, you will lead the design and integration of data systems, optimise data management processes, and champion data governance standards across the institution. You will work closely with stakeholders to translate business priorities into innovative data solutions aligned … qualification (eg TOGAF, DAMA). You will have proven experience in data architecture, data modelling, and integration and a strong understanding of data governance, metadata management, and regulatory compliance, along with the ability to translate business priorities into technical solutions. You'll be an excellent communicator ...

Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that … World-Class Discovery Experience Lead the UX and service design vision — intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations — inspired by the best consumer marketplace patterns (Kaggle, Spotify ...

products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Take accountability for data extraction, transforming … JSON and XML, and utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing ...

/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data Management Experience leading a discovery phase for a data transformation programme. Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design … authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder Engagement Ability to influence architectural direction at senior stakeholder level. Clear and structured communicator - able ...

customer journey and channels. Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage. Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners Develop data architecture governance and standards, regarding data models and capabilities … data architecture or related fields. Deep understanding of Information Security, alongside privacy and compliance regulations. Proven experience in enterprise-scale data modelling. Expertise in metadata management. Excellent analytical, planning, organisational and technical skills along with excellent written and verbal communication skills. Experience in translating complex technological requirements ...