251 to 275 of 356 Metadata Jobs in England

Design and embed scalable data governance frameworks . Define data domains, ownership, and stewardship with engineering and business teams. Implement standards for data quality, metadata, lineage, and documentation . Support compliance, privacy-by-design, and responsible data access. Improve data literacy and governance adoption across teams. What we're looking … Experience delivering data governance in modern, cloud-based data platforms. Strong understanding of metadata-driven governance and analytics/AI data needs. Experience with data catalogues, quality, and access control tooling. Confident communicator across technical and non-technical stakeholders. Nice to have: Regulated industry experience (insurance/FS). Exposure ...

/MLP and the longer-term technical roadmap. Key responsibilities Define and govern platform architecture (cloud, data, APIs, integrations, security) Set standards for schemas, metadata and interoperability Support hands-on delivery and solve complex technical challenges Produce clear documentation, technical direction and best practices What my client is looking … Strong experience with cloud-native distributed systems Hands-on AWS/Azure/GCP knowledge (IAM, networking, storage, compute) Strong data architecture experience (schemas, metadata, governance) Nice to have Data-intensive platform/marketplace experience Integration-heavy work + exposure to IaC/DevOps Location & eligibility UK-based role. Right ...

maintain platform architecture across cloud infrastructure, data platforms, application services, APIs, integration layers, and security Identify, define, and maintain content data standards, schemas, and metadata norms in collaboration with Solutions Architects Champion best practices in platform architecture, cloud infrastructure, API design, integration patterns, and security, with hands-on involvement … cloud platform (AWS, Azure, or GCP), including compute, networking, storage, and identity and access management Strong data architecture skills, including structured and unstructured data, metadata management, and schema design Ability to analyse, challenge, and improve technical designs proposed by engineers or third-party vendors Experience working in environments with meaningful ...

solutions. Provide oversight and guidance to data architects in the design and production of data artefacts. Design and maintain logical and physical data models, metadata systems, and data dictionaries. Ensure adherence to organisational data architecture standards across teams. Support agile delivery teams using Scrum methodology, contributing to iterative and collaborative … attitude with a proactive and solution-oriented mindset. Solid experience with agile delivery practices, particularly Scrum. Ability to design data models and metadata systems that support business objectives. Competence in developing and managing data dictionaries. Experience providing technical oversight and ensuring compliance with architectural standards. Collaborative approach to working with ...

document transformations and dependencies. Extract and organize technical details for lineage mapping, ensuring clarity and accuracy. Collaborate with Collibra engineers to register lineage and metadata assets in the Collibra platform. Validate lineage completeness through cross-team communication with DBAs and application developers. Manage version control for analysed source code … understanding of application server and Oracle database structures. Python scripting skills for automation or data analysis (desirable). Familiarity with data lineage concepts and metadata management. Experience with Collibra or similar data governance tools (preferred but not mandatory). Ability to interpret complex source code and explain findings to both ...

store and retrieve company information Install and configure information systems to ensure functionality Analysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data Migrate data from legacy systems to new solutions Improve system performance by conducting tests, troubleshooting and integrating new elements Optimize … PERL is essential Proficiency in SQL and C# Experience with data visualization is highly desirable. Proficiency in MS Excel Experience in data modelling, metadata management, data synthesis Experience gathering and analyzing system requirements Proven analytical skills ...

dependency mapping, and coexistence/cutover plans. Architect real-time, triggered, and scheduled journeys using AEP profiles, decisions, and offers. Design AEM Assets taxonomy, metadata strategy, and lifecycle workflows to support omnichannel content supply chain and activation. Embed data privacy, consent, and data residency controls, and define NFRs and observability … considered Hands-on architecture and delivery Experience across AEP/RTCDP, Adobe Campaign v8, and Adobe Journey Optimizer. Working knowledge of AEM Assets, metadata models, and workflow automation for omnichannel content. Strong data architecture skills with event streaming, APIs, SFTP/batch, and identity/consent models. Experience designing real ...

Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. … Data Management Manager, you will be responsible for designing and implementing metadata management and data lineage solutions that support enterprise-wide data governance and transparency. The role requires you to design and architect enterprise data discovery and lineage solutions that solve client challenges and enable strategic data governance capabilities. ...

Carry out compliance assessments for new systems, features, and digital initiatives Support development and ongoing enhancement of the data governance toolkit, including data ownership, metadata capture, definitions, and lineage Maintain and enhance the central Data Hub, ensuring governance documentation and standards remain up to date Support configuration, administration, and user … governance changes Required Skills & Experience Experience in data governance, data management, data quality, or business analysis Understanding of core data governance concepts (data ownership, metadata, data standards, data quality) Strong stakeholder engagement and communication skills Ability to manage multiple tasks and workstreams in a fast-paced environment Awareness of GDPR ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

water Utility Key Skills/Knowledge/Experience Hands-on experience with Asite configuration and data extraction . Understanding of Asite data model and metadata . Experience with transformations and automation for large datasets . Proficiency in ETL tools and scripting for API-based migrations. Ability to understand and design … standards . Language Proficiency: English . Cross-Cultural Collaboration: Experience working in multicultural and cross-border teams . Key Responsibilities Analyse Asite data structures, metadata, workflows, and permissions ; define migration scope, risks, and strategy for Unifier. Develop detailed mapping between Asite metadata and Unifier data model (including cost sheets, business ...

deliver services and make informed decisions. We are now entering a pivotal phase, implementing Microsoft Purview as the foundation of our future data governance, metadata management and organisational asset register. This programme is central to our long-term data strategy and we are determined to ensure it is delivered with … vendor's interpretation of them. A key part of your role will be shaping Purview as the organisation's central asset register, ensuring metadata, lineage, classifications and ownership models are designed and implemented correctly. You'll define expectations, shape the roadmap and ensure Purview is configured to deliver real value ...

approved Ariba workflow. Data stewardship in Ariba (single source of truth) Champion data quality across sourcing projects, contracts and savings forms—owning taxonomy alignment, metadata completeness and timeliness (e.g., renewal dates, values, clauses). Use the latest upload templates and required fields; fix gaps rapidly to keep reporting dependable. Produce … renewals 6–12 months ahead. Data Quality excellence within Ariba: 100% of in-scope contracts loaded in a timely manner with complete, correct metadata; sourcing projects and savings forms kept current; reporting is “board-ready”. Value & risk: Achieve agreed savings/avoidance targets to support overall Sourcing team savings ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded … modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...