501 to 525 of 629 Metadata Jobs in England

governance strategy and operating model Establishing clear data ownership and stewardship across business domains Leading data quality frameworks, controls, metrics and remediation activity Governing metadata, data definitions, business glossaries and lineage Embedding governance into architecture, engineering and data migration programmes Supporting privacy, security and regulatory compliance Driving adoption, accountability … DAMA-DMBOK Experience with cloud data platforms, ideally Azure and Databricks Familiarity with Databricks Unity Catalog would be advantageous Strong experience across data quality, metadata, lineage, stewardship and ownership Excellent senior stakeholder management and influencing skills Experience within insurance or another regulated environment would be beneficial This is a great ...

time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code approaches Optimising and troubleshooting pipelines for performance, reliability and scalability Developing reusable … formats Proficiency in Python and/or TypeScript Understanding of CI/CD, Git and software development lifecycle practices Knowledge of data governance, security, metadata, lineage and master data Strong stakeholder communication and ability to translate business requirements into technical solutions Defence, Government or other secure-sector experience would ...

time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code approaches Optimising and troubleshooting pipelines for performance, reliability and scalability Developing reusable … formats Proficiency in Python and/or TypeScript Understanding of CI/CD, Git and software development lifecycle practices Knowledge of data governance, security, metadata, lineage and master data Strong stakeholder communication and ability to translate business requirements into technical solutions Defence, Government or other secure-sector experience would ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

Specifying Apache NiFi architecture patterns, flow standards and reusable ingestion components Designing REST API, SOAP, file-based, batch, legacy and bespoke integrations Defining governance, metadata, lineage, auditability and data quality requirements Producing High-Level Designs, design principles, Architecture Decision Records and assurance documentation Defining non-functional requirements covering security, performance … structured and unstructured data, including CSV, XML, JSON, Parquet and Avro Experience designing solutions across multiple security classifications Strong knowledge of data governance, lineage, metadata, data quality, access control and auditability Strong stakeholder engagement, documentation and technical leadership skills Experience of MOD secure data engineering across multiple classifications Experience with ...

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 ...

similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics. Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data … lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability. Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with ...

Data Management strategy, standards and best practices. Drive the adoption of robust Data Management capabilities across the organisation. Lead initiatives focused on Data Quality, Metadata Management, Data Lineage, Critical Data Elements, Reference and Master Data, and Data Lifecycle Management. Work closely with business and technology stakeholders to improve trust, consistency … across a complex organisation. You’ll bring: Significant experience within Enterprise Data Management, Data Governance or a related discipline. Strong knowledge of Data Quality, Metadata Management, Data Lineage, Reference Data, Master Data and Data Lifecycle Management. Experience operating within large, complex data environments. A strong understanding of Data Management frameworks ...

workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement. Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets. Supporting the identification, structuring and management of information and data assets that … discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement. Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets. Can support the identification, structuring and governance of information ...

workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement. Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets. Supporting the identification, structuring and management of information and data assets that … discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement. Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets. Can support the identification, structuring and governance of information ...

workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement. Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets. Supporting the identification, structuring and management of information and data assets that … discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement. Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets. Can support the identification, structuring and governance of information ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

evolve Enterprise Data Management strategy, standards and best practices.Drive the adoption of robust Data Management capabilities across the organisation.Lead initiatives focused on Data Quality, Metadata Management, Data Lineage, Critical Data Elements, Reference and Master Data, and Data Lifecycle Management.Work closely with business and technology stakeholders to improve trust, consistency … influence change across a complex organisation.You'll bring:Significant experience within Enterprise Data Management, Data Governance or a related discipline.Strong knowledge of Data Quality, Metadata Management, Data Lineage, Reference Data, Master Data and Data Lifecycle Management.Experience operating within large, complex data environments.A strong understanding of Data Management frameworks, controls ...

risks, dependencies, data governance, security, regulatory constraints, and vendor or partner relationships. Ensure data solutions align with FAIR principles, data quality, traceability, provenance, auditability, metadata, and standardisation requirements. Partner with technical leads and architects to deliver scalable, reusable, secure, and enterprise-aligned solutions. Monitor relevant market trends and emerging technologies …/or field environments, including data capture, experimentation, trial execution, automation, sensors, imaging, geospatial data, and data standards. Knowledge of data integrity, discoverability, metadata, taxonomy/ontology, traceability, provenance, auditability, and quality controls across data pipelines. Experience working with data governance, security, architecture, quality, compliance, and regulatory requirements. Strong stakeholder ...

Contributing to client workshops, discovery activities, maturityassessmentsand stakeholder engagement to understand business needs,challengesand opportunities for improvement. Helping clients improve information governance, data quality, metadata,taxonomyand information architecture tomaximisethe value of information and data assets. Supporting the identification, structuring and management of information and data assets that enable analytics, automation … approaches. Can contributeto client workshops, discoveryactivitiesand maturity assessments to understand business needs, current practices,challengesand opportunities for improvement. Can helpestablishpractical approaches to information governance, metadata, taxonomy, informationarchitectureand data quality that improve the value and usability of information assets. Can supportthe identification, structuring and governance of information and data assets ...

Contributing to client workshops, discovery activities, maturityassessmentsand stakeholder engagement to understand business needs,challengesand opportunities for improvement. Helping clients improve information governance, data quality, metadata,taxonomyand information architecture tomaximisethe value of information and data assets. Supporting the identification, structuring and management of information and data assets that enable analytics, automation … approaches. Can contributeto client workshops, discoveryactivitiesand maturity assessments to understand business needs, current practices,challengesand opportunities for improvement. Can helpestablishpractical approaches to information governance, metadata, taxonomy, informationarchitectureand data quality that improve the value and usability of information assets. Can supportthe identification, structuring and governance of information and data assets ...

shape their dashboards into an AI-ready form the agent can query cleanly and reliably.Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased.Knowledge Base Authoring – Author and maintain the knowledge … manage your time, and make pragmatic trade-offs to deliver value with minimal supervision.What Would Make You Stand Out:Understanding of data modelling concepts, metadata management, or semantic layers.Exposure to conversational AI, LLM-powered tools, or agent-based workflows.Experience with MCP connections.Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...

scrums ceremonies Work closely with engineering, data, and AI teams to clarify requirements, unblock delivery, and ensure platform quality Define and enforce governed taxonomies, metadata models, and ontologies to ensure findability, consistency, and AI-readiness across knowledge assets Establish data contracts between knowledge producers and consumers, capturing lineage, quality standards … Agile delivery model Demonstrated experience defining and delivering enterprise data or knowledge management solutions at scale, including taxonomy design, information architecture, and metadata governance Strong Agile delivery discipline: proven ability to manage complex backlogs, write effective user stories, and lead cross-functional delivery teams Experience working in a regulated industry ...

Develop and execute data quality monitoring processes, identifying and coordinating the resolution of data quality issues Establish and maintain data dictionaries, business glossaries, and metadata documentation to ensure consistent understanding of data assets Support the management of data governance forums and communities of practice to facilitate knowledge sharing Assist … complex information clearly and effectively. Technical Proficiency : Familiarity with data management tools and software, and an understanding of database concepts is essential. Experience with metadata management and data quality tools is helpful. Demonstrated expertise in Power BI, including handling large volumes of data and building insightful dashboards to support quality ...

research, and automated analytical workflows are evolving and identify high‐value use cases. Translate these emerging client needs into requirements for making FIG content, metadata, and analytics AI‐ready, contextualized, discoverable, and accessible through MCP and related technologies. Partner with the AI Foundry, Applications, Content, and Engineering teams to develop … market, client acquisition, adoption, cross‐sell, retention, or other commercialization activities. Data and Technology Fluency: Strong understanding of financial datasets, data quality, metadata, applications, data feeds, APIs, and modern data‐delivery workflows. The successful candidate does not need to be an engineer but must be able to work effectively with ...

design an interconnected data model supporting analysis across multiple datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling … requirements to stakeholders, and drive alignment across metadata/modelling functions to ensure practices are well understood & followed. Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions. Promote FAIR data principles across the modelling lifecycle. You’ll need to have: *Please note we use years ...