476 to 500 of 634 Permanent Metadata Jobs

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

organisations establish effective data governance frameworks, processes and controls. Support the definition of information-handling models across heterogeneous data environments. Address data quality, ownership, metadata and master-data challenges. Contribute to capacity planning and architectural decision-making across multiple data-storage technologies. Help clients develop sustainable approaches to managing data … technical leadership capabilities. They should have: Professional experience within the UK Healthcare or Public Sector. Strong technical expertise across data modelling, data analysis, metadata management, data transformation, data migration and master data. A proven track record of providing technical leadership across data projects and programmes. Experience providing architecture assurance, mentoring ...

architectures, including generative AI, large language models, retrieval approaches and agentic AI. Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture. Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies … with executive and non-technical audiences. What Would Make You Stand Out: Experience working in financial markets. Experience applying AI to transform data management, metadata, governance, data quality, or data operations. Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineerto join our AI team. This position will work on a team to accomplish tasks and ...

data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational SLAs. … Reduce manual toil by investing in self-service onboarding, templates, and engineering enablement tooling. Implement end-to-end data lineage (source → platform → vendor), including metadata capture and a visual representation that supports auditability and faster incident resolution. Enhance observability across pipelines and services: logging, metrics, alerting, and dashboards; drive measurable ...

imaging analysis platforms and ML environments for science teams to work with. Automate the path for curating and harmonising imaging datasets. Parse and normalise metadata, validate incoming manifests against the agreed metadata standard, reconcile images against clinical/tabular and other biomarker data, and build quality and de-identification checks … models and the science need. Work with imaging leads to apply ML and AI techniques to ingestion, including by doing anomaly detection over metadata and series structure, using automated detection of missing, duplicate or mismatched studies, applying classifiers for burned-in pixel PHI, and building agent-driven triage of failed ...

Manager to lead the technical transformation of digital collection systems within Digital Reach. You will drive discovery, access and long-term preservation across digitisation, metadata interoperability and learning resources. Reporting to the Head of Digital Reach, you will collaborate with IT Services, cultural institutions and suppliers to maintain robust, sustainable ...

work from home and occasional in-person meetings. You will collaborate across teams, own end-to-end projects and help evolve standards for metadata and storage. #J-18808-Ljbffr ...

passionate about data and making a difference in the public sector? The National Archives is looking for a talented data specialist to transform archival metadata bringing history to life. About Us: At The National Archives, multidisciplinary and interdisciplinary research into all aspects of our collections and activities ...

tools, IT and collections management systems, and techniques for digital preservation Practical experience in implementing and working with tools of digital preservation, including systems, metadata standards, data structure standards and models Working knowledge of storage and file system management Understanding of compliance with GDPR Ability to communicate effectively with technical ...

data foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development. You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape how data … govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions. Design and implement scalable metadata management capabilities that improve data quality, lineage, interoperability and discoverability across structured and unstructured data. Drive the adoption of AI-enabled approaches to metadata generation, curation ...

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 ...

across complex data and application estates. Work closely with enterprise architects, engineering teams, security, suppliers and senior stakeholders. Provide expertise across data governance, integration, metadata, data virtualisation and data products . Support the adoption of modern data technologies across AWS, Azure, on-premise and SaaS environments . Contribute to architecture … knowledge of AWS and/or Azure architecture . Experience with architecture governance, design assurance and strategic roadmapping. Understanding of modern data platforms, integration, metadata and data products. Strong stakeholder management and influencing skills. Experience working across multiple technical teams, suppliers and business functions. Experience within a large, regulated ...

will build and govern data products by developing robust ingestion and transformation pipelines and defining data quality rules. You will drive governance standards, metadata, and data definitions to improve discoverability and reliability. You will collaborate with product, engineering, and data teams to translate requirements into scalable data solutions and governance … dashboards using dbt and Elementary Lead root-cause analysis for data quality issues and drive corrective actions Maintain business definitions, harmonisation rules, and metadata across datasets Review data models, data contracts, and data mappings for governance alignment Present data product, governance, and data quality insights to stakeholders Collaborate with data ...

opportunities. About the Role As a Data Governance Coordinator, you will help ensure that data assets are managed effectively as products, with governance, quality, metadata, and standards consistently applied across the data estate. Acting as a key link between central data capabilities and Data Stewards, you will support the adoption … data governance standards and elevate where standards are not met Embed governance requirements into delivery and change processesDrive the completeness, quality, and discoverability of metadata and catalogue information Monitor data quality outcomes, identify gaps, and support prioritisation of issues Promote transparency through the capture of data lineage and coordination across ...

Hybrid Work Model.# **Job Description**# **Key Responsibilities May Include:*** Lead the development, implementation, and scaling of core data management capabilities, including data quality, metadata, master and reference data, content and document management, and data storage and operations.* Coordinate delivery of data management activities across business, technology, legal, compliance … activities required to embed new data management practices, data literacy and data-driven ways of working.* Work with accountable owners to ensure data quality, metadata, master data, governance and control requirements are transitioned into sustainable BAU practices.**Benefits Realisation & Reporting*** Define and track transformation outcomes, maturity improvements, risk reduction, adoption ...

opportunities. About the Role As a Data Governance Coordinator, you will help ensure that data assets are managed effectively as products, with governance, quality, metadata, and standards consistently applied across the data estate. Acting as a key link between central data capabilities and Data Stewards, you will support the adoption … governance standards and upscale where standards are not met Embed governance requirements into delivery and change processes Drive the completeness, quality, and discoverability of metadata and catalogue information Monitor data quality outcomes, identify gaps, and support prioritisation of issues Promote transparency through the capture of data lineage and coordination across ...

Data Products easier to understand, discover, trust, and consume for both traditional analytics and AI-enabled use cases (for example, strengthening semantic consistency, metadata and lineage, data quality signals, and modern consumption patterns) Job responsibilities Provides technical guidance and direction to support business and technical teams, contractors, and vendors delivering … others. Leads design and implementation of reusable platform capabilities that make the platform and Data Products AI-ready (e.g., consistent meaning and definitions, strong metadata/lineage and quality signals, and consumption patterns that support both analytics and AI-enabled use cases). Drives decisions influencing product design, data product ...

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 ...

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 ...

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 ...