13 of 13 Metadata Repository Jobs in the UK

architecture artefacts, ensuring accuracy and relevance. Assure data solutions, making recommendations and identifying opportunities for innovation using new tools and technologies. Work with metadata repositories (e.g. Microsoft Purview) to manage and govern data assets. Translate and communicate complex technical concepts clearly to both technical and non-technical stakeholders. ...

architecture artefacts, ensuring accuracy and relevance. Assure data solutions, making recommendations and identifying opportunities for innovation using new tools and technologies. Work with metadata repositories (e.g. Microsoft Purview) to manage and govern data assets. Translate and communicate complex technical concepts clearly to both technical and non-technical stakeholders. ...

data models using frameworks and tools like UML, TOGAF, and erwin. Establish data standards focusing on a specific component, adopting best practices. Engage with metadata repositories to solve intricate challenges with tools like MS Purview. Design solutions for distinct business challenges, working closely with diverse data teams. About ...

management, decommission and archive of data in compliance with data policy Provide input into data dictionaries Define and maintain the data technology architecture, including metadata, integration and Business Intelligence or data warehouse architecture Communicating between the technical and non-technical Communicate effectively with technical and non-technical stakeholders Support … Develop data standards for a specific component Analyse where data standards have been applied or breached, and undertake an impact analysis of that breach Metadata management Work with metadata repositories to complete complex tasks such as data and systems integration impact analysis Maintain a repository to ensure ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop ...

Designing, supporting, and guiding the upgrade, management, decommissioning, and archiving of data in line with data policy Defining and maintaining data technology architecture, including metadata, integration, BI, and data warehouse architectures Producing, maintaining, and reverse-engineering data models to meet organisational and programme needs Providing input into and maintaining … data dictionaries and metadata repositories Undertaking data profiling and source system analysis to support effective data use Ensuring data solutions comply with governance, security, and assurance requirements Monitoring compliance with data standards and assessing the impact of breaches Supporting multidisciplinary delivery teams with clear data insights and architectural guidance ...

asset, promoting approaches such as data-as-a-product and enabling secure, lawful, and trusted data sharing. Design and evolve modern data models and metadata frameworks that enable interoperability, scalability, and ethical data sharing across platforms. Drive data transformation initiatives and support the integration of AI-driven solutions into … assuring data services. Data modelling: Strong understanding of concepts, principles, and industry standards; ability to produce and align models across multiple subject areas. Metadata management: Ability to design and manage metadata repositories and advise on tools and processes. Strategic thinking: Communicate how activities align with strategic goals ...