19 of 19 Metadata Jobs in the West Midlands

quality and enrichment, focusing on the most critical data first and tracking the tangible 'value-add' with data consumers. Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. Manage Risk & Alignment: Engage with stakeholders ...

enrichment, focusing on the most critical data first and tracking the tangible ‘value-add’ with data consumers. \n Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. \n Manage Risk & Alignment: Engage with stakeholders ...

reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data architecture and engineering processes. Collaborate across technical and commercial teams to influence data strategy and architecture. ...

together. Minimum requirements: Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data. Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

architecture policies, standards, models and governance in collaboration with InfoSec, Technology, GCT and Information & Records. Own and manage logical and physical data models, including metadata, business glossaries, data flows and storage. Lead architectural assurance for major projects and changes, assessing designs against standards, identifying impacts and recommending appropriate mitigations. Provide … expert guidance on data modelling, integration, master data, metadata, migration and analytics. Ensure project data deliverables align with the organisation's data architecture and strategic objectives. Champion data architecture and governance through thought leadership, mentoring and knowledge sharing. Identify opportunities to improve data capabilities, deliver business value and optimise ...

expertise and leadership in the development, implementation and continuous improvement of Together's Data Governance Framework. You will drive data ownership, stewardship, data quality, metadata management and governance maturity across the organisation as a recognised expert in the data, processes and controls. As a trusted adviser to the business … closely related discipline. Demonstrable experience implementing, operating or materially improving a formal Data Governance Framework. Strong practical knowledge of data ownership, stewardship, data quality, metadata management, business glossaries, data lineage, data classification and critical data elements. Ability to influence, advise and constructively challenge senior stakeholders, including where there ...

data relationships, ensuring critical information is consistently understood and managed across systems, processes and business areas. Establish architectural standards and patterns for metadata, lineage, master data, reference data and interoperability, enabling data to be discovered, understood, governed and reused. Define the architectural foundations needed to support data products … communicate complex concepts to technical and non-technical audiences Experience developing semantic models, ontologies, taxonomies, business glossaries or knowledge structures. Strong knowledge of metadata, data lineage, data quality, master data management and data governance. Experience defining enterprise architecture principles, standards and target architectures. Practical understanding of different data architecture paradigms ...

standards, quality & compliance Data Architecture and Technology: Own and maintain the enterprise data architecture and roadmap. Define standards and principles for data modelling, integration, metadata management and master data management. Ensure business systems, applications and data platforms are integrated effectively to support organisational objectives. Provide strategic oversight of data warehousing … investment decisions. Strong understanding of enterprise data architecture principles and practices. Experience defining data integration and data modelling standards. Knowledge of master data management, metadata management and reference data management Knowledge of AI, machine learning and advanced analytics opportunities and risks. Job Offer Opportunity to further develop Group Data Strategy ...

standards, quality & compliance Data Architecture and Technology: Own and maintain the enterprise data architecture and roadmap. Define standards and principles for data modelling, integration, metadata management and master data management. Ensure business systems, applications and data platforms are integrated effectively to support organisational objectives. Provide strategic oversight of data warehousing … investment decisions. Strong understanding of enterprise data architecture principles and practices. Experience defining data integration and data modelling standards. Knowledge of master data management, metadata management and reference data management Knowledge of AI, machine learning and advanced analytics opportunities and risks. Job Offer Opportunity to further develop Group Data Strategy ...

standards, quality & compliance Data Architecture and Technology: Own and maintain the enterprise data architecture and roadmap. Define standards and principles for data modelling, integration, metadata management and master data management. Ensure business systems, applications and data platforms are integrated effectively to support organisational objectives. Provide strategic oversight of data warehousing … investment decisions. Strong understanding of enterprise data architecture principles and practices. Experience defining data integration and data modelling standards. Knowledge of master data management, metadata management and reference data management Knowledge of AI, machine learning and advanced analytics opportunities and risks. Job Offer Opportunity to further develop Group Data Strategy ...

standards, quality & compliance Data Architecture and Technology: Own and maintain the enterprise data architecture and roadmap. Define standards and principles for data modelling, integration, metadata management and master data management. Ensure business systems, applications and data platforms are integrated effectively to support organisational objectives. Provide strategic oversight of data warehousing … investment decisions. Strong understanding of enterprise data architecture principles and practices. Experience defining data integration and data modelling standards. Knowledge of master data management, metadata management and reference data management Knowledge of AI, machine learning and advanced analytics opportunities and risks. Job Offer Opportunity to further develop Group Data Strategy ...

will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data quality KPIs … complex or regulated environment. Good working knowledge of UK GDPR and its practical application within a regulated environment. Experience with data catalogue, metadata and data lineage tools, such as Microsoft Purview or similar platforms. Knowledge of master data management principles and data quality management practices. Strong stakeholder management and influencing ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

Data Steward communities. Define and maintain processes for Data Owner and Data Steward accountability. Facilitate governance forums and ensure actions are tracked and delivered. Metadata & Data Catalogue: Lead the development and maintenance of data cataloguing, business glossary and metadata management capabilities. Ensure critical data assets are documented and understood across … data strategy and analytics programmes. Designing and implementing Data Governance Frameworks. Establishing Data Owner and Data Steward models. Establishing and using data governance tools, metadata management or master data management approaches. Developing data quality measures and remediation plans. Job Offer Opportunity to further develop Data Governance Strategy Opportunity to work ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...