151 to 175 of 220 Metadata Jobs in England

support the organisation's FP&A objectives. Design cost allocation and profitability models within PCMCS. Shape integration between Oracle EPM and Oracle ERP. Define metadata, dimensional hierarchies and reporting structures. Skills and experience Proven Oracle EPM Cloud design and implementation experience, including Planning and PCMCS. Strong understanding of budgeting, forecasting ...

commercial goals. Manage client relationships, strategy meetings, performance reviews and reporting. Conduct keyword research, competitor analysis and technical SEO audits. Improve site structure, metadata, content, internal linking and conversion opportunities. Monitor crawlability, indexing, site speed and Core Web Vitals, working with developers where needed. Track traffic, rankings, leads and organic ...

commercial goals. Manage client relationships, strategy meetings, performance reviews and reporting. Conduct keyword research, competitor analysis and technical SEO audits. Improve site structure, metadata, content, internal linking and conversion opportunities. Monitor crawlability, indexing, site speed and Core Web Vitals, working with developers where needed. Track traffic, rankings, leads and organic ...

Proficiency in HTML and CSS, with a good understanding of website structure and technical SEO. Strong understanding of organic search, including keyword research and metadata optimisation. Familiarity with Google Search Console and Google Analytics. Experience creating and optimising content and implementing link-building strategies. Up-to-date knowledge of search ...

health authority data standards (e.g., IDMP, SPOR)Output Verification & Quality Gatekeeping: Actively review, test, and provide expert feedback on platform outputs—verifying automated metadata tagging, health authority data mapping, and submission readiness tracking to ensure zero regulatory discrepanciesStress-Test Scenario Curation: Build a comprehensive library of real-world regulatory scenarios ...

ensuring data remains a trusted and valuable organisational asset. Working closely with business stakeholders, architects, engineers and delivery teams, you will develop data models, metadata standards and governance frameworks that support programme outcomes. You will provide expert guidance on complex data challenges, promote good architectural practice, and ensure solutions align … Architect works with multiple projects or teams on problems that require broad architectural thinking. At this role level, you will: design data models and metadata systems. help lead data architects to interpret an organisation's needs.? provide oversight and advice to other data architects who are designing and producing data ...

maintain data models aligned with business and programme requirements. Support data architecture across the SSO, IAM and Staff Index workstreams. Define data standards, metadata, data dictionaries and governance requirements. Design data integration and interoperability solutions using APIs and microservices. Undertake data profiling, source system analysis and reverse engineering of existing … Data Modelling . Proven ability to design, maintain and reverse-engineer data models. Experience with data integration, APIs, microservices and interoperability . Knowledge of metadata management, data governance, data quality and data security. Understanding of enterprise data management principles and the data lifecycle. Experience defining data standards and assessing their ...

Analytics Engineering: Mastery of the lifecycle from data ingestion (ETL/ELT) to front-end visualization. Business Systems Analysis: Ability to map technical project metadata to financial value metrics. Stakeholder Communication: Experience in translating technical data structures into presentable, intuitive interfaces for non-technical senior leaders. Complex System Design: Applying … experience Minimum/essential Advanced proficiency in Power BI and/or Microsoft Fabric to create professional grade executive dashboards. Experience in data modelling, metadata management, design, coding, testing and delivery of data engineering solutions. Experience in supporting large change projects/programmes covering digital transformation and multiple technology architecture ...

Analytics Engineering: Mastery of the lifecycle from data ingestion (ETL/ELT) to front-end visualization. · Business Systems Analysis: Ability to map technical project metadata to financial value metrics. · Stakeholder Communication: Experience in translating technical data structures into presentable, intuitive interfaces for non-technical senior leaders. · Complex System Design: Applying … experience Minimum/essential ·Advanced proficiency in Power BI and/or Microsoft Fabric to create professional grade executive dashboards. · Experience in data modelling, metadata management, design, coding, testing and delivery of data engineering solutions. · Experience in supporting large change projects/programmes covering digital transformation and multiple technology architecture ...

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 ...

information across the organisation. Your responsibilities will include: Reviewing and reorganising priority Teams and SharePoint sites and libraries. Establishing clear standards for structures, naming, metadata, ownership and access. Recommending and applying appropriate retention and sensitivity labels. Improving arrangements for archiving and closing sites, while reducing duplication. Creating straightforward guidance, templates ...

scalable data foundation for UCB's R&eD organization to deliver re-usable and AI-ready data products for the entire company. Implement scalable metadata management technologies to improve data quality, lineage, and discoverability Oversee system interdependencies, scale transversal solutions, and ensure compliant operations. Interact closely with scientists and data … registries, modeling & analytics, ...), and experience with integrating these in a data foundation architecture. Good understanding of scientific data formats and types, data management, metadata governance and data modelling Experience applying AI-driven approaches to data or metadata management Strong understanding of structured and unstructured data management Understanding of pharmaceutical ...

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability … data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials. Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms. Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance ...

Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs and customer-facing analytics Build in data quality, lineage, metadata, and access controls from the start Build, shape and scale a modern AWS data platform Youll be part of the team turning platform strategy into … from raw ingestion through to curated, business-ready products Create resilient data transformations that support reliable customer-facing analytics Embed governance by design, including metadata, lineage, data contracts, access controls and tenant-aware data handling Support product-level observability, performance optimisation, cost awareness and operational reliability What Were Looking ...

Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs and customer-facing analytics Build in data quality, lineage, metadata, and access controls from the start Build, shape and scale a modern AWS data platform You'll be part of the team turning platform strategy … from raw ingestion through to curated, business-ready products Create resilient data transformations that support reliable customer-facing analytics Embed governance by design, including metadata, lineage, data contracts, access controls and tenant-aware data handling Support product-level observability, performance optimisation, cost awareness and operational reliability What We're Looking ...

Analytics Engineering: Mastery of the lifecycle from data ingestion (ETL/ELT) to front-end visualization. Business Systems Analysis: Ability to map technical project metadata to financial value metrics. Stakeholder Communication: Experience in translating technical data structures into presentable, intuitive interfaces for non-technical senior leaders. Complex System Design: Applying … skills to environments where data is highly fragmented across different business units. Role specific knowledge and experience Minimum/essential Experience in data modelling, metadata management, design, coding, testing and delivery of data engineering solutions. Experience in supporting large change projects/programmes covering digital transformation and multiple technology architecture ...

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 ...

architectural oversight for the Microsoft Fabric common data platform.Develop enterprise data models, architecture principles, standards, data dictionaries and reference architectures.Provide expertise across data modelling, metadata, data governance, data quality, lineage and integration.Establish logical and conceptual data models across complex enterprise environments.Ensure data architecture aligns with wider enterprise architecture, business requirements … database technologies and data management.Experience developing conceptual and logical data models.Knowledge of OLTP and OLAP architectures.Experience with Master Data Management (MDM).Strong understanding of metadata, data lineage, data quality, data dictionaries and data governance.Experience defining and implementing data architecture principles, standards and frameworks.Strong stakeholder management skills, including the ability ...

building traditional reports and to support data exploration, insight generation, summarisation and storytelling. AI-ready Data Products: Ensure data products, semantic models and metadata are designed to support AI and GenAI use cases, with appropriate governance, access controls, quality and trusted context to enable reliable AI-driven analytics. In addition … building traditional reports and to support data exploration, insight generation, summarisation and storytelling. AI-ready Data Products: Ensure data products, semantic models and metadata are designed to support AI and GenAI use cases, with appropriate governance, access controls, quality and trusted context to enable reliable AI-driven analytics. In addition ...

Data Engineer with deep expertise in Databricks and Azure data services. The ideal candidate will have a strong background in designing and delivering scalable, metadata-driven data solutions, particularly in metadata ingestion and orchestration processes. The role requires a strategic thinker who can lead technical design discussions, drive best practices … closely with stakeholders, and implementing robust data solutions to enable business insights and operational efficiencies. Responsibilities The successful candidate will: Lead the development of metadata ingestion frameworks and orchestration processes. Design and implement scalable and reusable metadata-driven services to optimise data pipelines. Architect and maintain robust data solutions using ...