126 to 150 of 172 Metadata Jobs in the UK

modules with Articulate or Captivate. * Legal training experience a plus. * Advanced knowledge of Microsoft Office 2016 in addition to other relevant legal applications (time recording systems, expense management systems, metadata management systems, document comparison systems, workflow management systems, electronic signature systems, PDF converters). * Proficiency in iManage document management system applications (FileSite, iManage, Work 10). * Proficiency using virtual meeting More ❯

improving navigation, and increasing conversion rates. Own the visual merchandising strategy across digital storefronts to drive engagement, product visibility, and sales. Develop and implement SEO strategies, ensuring product pages, metadata, and technical SEO are fully optimised. Collaborate with internal teams and external agencies to monitor search performance, paid media insights, and digital analytics. Oversee the content strategy and production for More ❯

and other latest standards/practices. Use of multimedia and Active-X controls. Understanding of the nature of browsers and how to design cross-browser layouts. Effective knowledge of metadata (e.g. tags, XML) and related aspects of Search Engine Optimization (SEO). Skills and Attributes Essential Creativity skills to take innovative approaches to problem solving and/or devising inventive More ❯

and implementing tailored data and AI governance frameworks to meet the unique needs of each client. Develop and embed governance standards, including policies, controls, quality measures, data lineage, and metadata management. Contribute to the growth of the practice, helping to create new service offerings aligned with client demand, industry developments, legal requirements, and emerging technologies. Drive business development in the … in consultancy or financial services. Strong understanding and hands-on experience in; data management and governance frameworks, AI assurance, including data quality, data lineage, regulatory reporting, AI models, and metadata management Track record of driving sales and business development activities within the financial services sector. Desirable Skills (nice to have but not essential): Recognised data or AI qualification (e.g. CDMC More ❯

models in cloud platforms (e.g., Azure, Databricks). Domain Expertise Understand and model data from platforms such as DV360, Meta, Amazon DSP, TikTok, IAS, Innovid, and others. Integrate campaign metadata, audience segments, impressions, clicks, conversions, and spend data. Align models with taxonomy standards and media KPIs. Stakeholder Collaboration Work closely with the head of architecture, media teams, activation teams, and … modelling, proficiency with modelling tools. Understanding of media buying platforms, ad servers, and campaign activation tools. Proficiency in SQL, data warehousing, and cloud data platforms. Experience with data governance, metadata management, and data quality frameworks. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their More ❯

familiarity with business analysis tools, practices and stakeholder engagement techniques. You will be someone who is confident operating in technically complex environments and can understand technical concepts such as metadata, data quality controls and lineage. Along using business data confidently to tell stories to explore business issues, support analysis and tell stories to influence decision-making. You will operate at More ❯

familiarity with business analysis tools, practices and stakeholder engagement techniques. You will be someone who is confident operating in technically complex environments and can understand technical concepts such as metadata, data quality controls and lineage. Along using business data confidently to tell stories to explore business issues, support analysis and tell stories to influence decision-making. You will operate at More ❯

familiarity with business analysis tools, practices and stakeholder engagement techniques. You will be someone who is confident operating in technically complex environments and can understand technical concepts such as metadata, data quality controls and lineage. Along using business data confidently to tell stories to explore business issues, support analysis and tell stories to influence decision-making. You will operate at More ❯

PPC campaigns are aligned, integrated, and effective. Key Responsibilities: SEO: Plan and deliver on-page and technical SEO strategies Conduct keyword research, SEO audits, and competitive analysis Optimise content, metadata, and site structure Track performance using tools like SEMrush, Ahrefs, and Google Search Console Report regularly on organic performance and SEO outcomes PPC: Plan and execute paid campaigns across Google More ❯

a centralized data management platform by bringing together all Group's data sources. The platform intends to contain suite of applications to manage different aspects around Data Governance specially:• Metadata Management across all applications with heavy focus building data catalog, identifying relationships across metadata, creating and managing tag hierarchies based on business context• Cloud based offerings to business and application … around data and improve regulatory data compliance requirementsThe platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities. Responsibilities Metadata Management Lead onboarding of data providers onto the Data Highway platform Manage the complete onboarding process (end to end) of data dictionaries and related datasets related to the assigned applications More ❯

Responsibilities: Manage electronic document management systems (EDMS) and ensure automation of record controls Maintain full traceability and control of project records throughout their lifecycle Apply EDMS best practices and metadata schemas to ensure data integrity and compliance Collaborate with project teams to support records management and audit readiness Ensure compliance with project and regulatory requirements for record-keeping Requirements: Minimum More ❯

Responsibilities: Manage electronic document management systems (EDMS) and ensure automation of record controls Maintain full traceability and control of project records throughout their lifecycle Apply EDMS best practices and metadata schemas to ensure data integrity and compliance Collaborate with project teams to support records management and audit readiness Ensure compliance with project and regulatory requirements for record-keeping Requirements: Minimum More ❯

patient documents in line with Trust procedures Carry out quality assurance checks on scanned and indexed documents Monitor and process documents through Laserfiche and Quickfields workflows Ensure accurate indexing, metadata assignment, and document classification Respond to user queries and escalate technical issues where needed Provide occasional cross-site support to cover leave or sickness Support the training of new staff More ❯

We're looking for a technical steward of enterprise metadata assets , ensuring governance, quality, and regulatory compliance across complex data landscapes. You will be the subject matter expert for data cataloguing, metadata synchronisation, and stewardship best practices. helping us build a trusted foundation for AI, analytics, and digital transformation. What You'll Do Metadata Curation & Governance Define and implement enterprise … metadata standards, business glossaries, and classification schemas. Establish data quality KPIs, SLAs, and governance metrics. Build automated discovery workflows to enable self-service analytics. Champion adoption of governed data assets across business and technical teams. Technical Stewardship Configure cross-platform metadata synchronisation between Alation, Databricks (Unity Catalog) , and downstream systems. Implement schema registries, data contracts, and API-first data governance. … Ensure compliance with GDPR, CCPA, SOX, and industry regulations. What We're Looking For Technical Metadata Management Expertise 5+ years in enterprise metadata management and data governance. Proven experience with data lineage mapping, quality assessment, and master data management. Strong track record of curating and synchronising metadata across distributed platforms. Platform & Tool Expertise Alation power user : Expert in Stewardship Workbench More ❯

ODS, data marts, and data lakes (SQL/NoSQL). Translating business needs into robust, long-term data models. Applying Data Vault 2.0 techniques in real-world implementations. Supporting metadata management, governance, and best practices with tools like Erwin or ER/Studio . What We’re Looking For (Must-Haves) 5+ years hands-on experience as a Data Modeler … bullet 17). 2+ years hands-on Data Vault modelling. Strong background in data warehouses, data lakes, and enterprise big data platforms in multi-data-centre contexts. Proficiency with metadata management and data modelling tools (Erwin, ER/Studio, or similar). Nice-to-Haves ETL/Data Transformation experience – ideally Qlik Compose or AWS Glue (alternatives like DataStage, SSIS More ❯

data architecture design across large-scale data programmes, with a focus on public and healthcare sector clients Shape and deliver robust data strategies across data modelling, transformation, sourcing, and metadata management Lead technical assurance, coach junior team members, and support delivery standards across the Data & AI capability Engage clients and senior stakeholders to define information strategies, technical requirements, and long … the enterprise level What You’ll Bring: Strong experience in public sector or healthcare data programmes Deep knowledge of data architecture practices including data migration, master data management, and metadata frameworks Proven track record leading data delivery projects and providing technical direction and assurance Highly proficient in at least three major data technologies, with strong awareness of broader tech trends More ❯

architectures, and provide assurance across all 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. NHS England, UKHSA, NHSBSA … AI solutions that span data 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 on product and technology selection, and … consultant in a client-facing role, including shaping new opportunities and leading pre-sales activities. Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and governance. Proven experience delivering or assuring large-scale Data or AI programmes within the public sector or healthcare domain. Proven ability to act as More ❯

across all Salesforce-based client projects and Azur's product teams Design, manage, and optimise CI/CD pipelines using Bitbucket Pipelines, Salesforce DX, and Vlocity Build Tool Automate metadata deployment, scratch org management, and managed package release processes Support the build and deployment of backend services using Docker containers and orchestration (e.g. Kubernetes/AKS) Set up and maintain … velocity and product reliability Must-Have Skills 4+ years hands-on in DevOps, build/release engineering, or cloud infrastructure roles Strong knowledge of Salesforce DevOps practices including DX, metadata API, and scratch org workflows Hands-on experience with Bitbucket Pipelines, Vlocity Build Tools, or similar Experience with Azure DevOps, GitHub Actions, or custom CI/CD tools Proficiency in More ❯

ODS, data marts, and data lakes (SQL/NoSQL). Translating business needs into robust, long-term data models. Applying Data Vault 2.0 techniques in real-world implementations. Supporting metadata management, governance, and best practices with tools like Erwin or ER/Studio . What We're Looking For (Must-Haves) 5+ years hands-on experience as a Data Modeler … bullet 17). 2+ years hands-on Data Vault modelling. Strong background in data warehouses, data lakes, and enterprise big data platforms in multi-data-centre contexts. Proficiency with metadata management and data modelling tools (Erwin, ER/Studio, or similar). Nice-to-Haves ETL/Data Transformation experience - ideally Qlik Compose or AWS Glue (alternatives like DataStage, SSIS More ❯

systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the More ❯

systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the More ❯

systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the More ❯

systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the More ❯

systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the More ❯

compliance and audit requirements. Collaborate with IT teams, data owners, and business analysts to ensure accurate lineage documentation. Train and guide stakeholders in accessing and understanding lineage information. Use metadata and lineage tools for discovery, analysis, and visualisation where appropriate. About You You will bring strong technical and governance expertise in data lineage, backed by stakeholder engagement and analytical skills. … functional teams. Desirable skills: Certifications such as DAMA CDMP or Collibra Ranger. Degree in Computer Science, Information Systems, Data Science, or related field. Experience with modern data management and metadata tools. Esther Urtecho Senior Delivery Consultant London | Bristol | Amsterdam More ❯