526 to 550 of 634 Permanent Metadata Jobs

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. ...

with business, product, engineering, and senior domain leaders to strengthen data accountability and drive enterprise adoption of governance practices. Lead adoption of data governance, metadata, lineage, data product standards, and lifecycle management practices across the Data Marketplace. Establish and oversee data quality controls, metrics, risk management, and remediation activities … governance, management, or strategy initiatives within complex organizations. Proven success leading enterprise-scale data governance and stewardship programs across large, matrixed organizations. Experience implementing metadata management, lineage, data catalog, and data product practices within modern enterprise data ecosystems. Strong technical foundation across enterprise data platforms, data architectures, and advanced ...

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 ...

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. ...

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 … 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 ...

support where they are appropriate and well controlled. **Implement modern AI solutions*** Implement end-to-end retrieval-augmented generation solutions, including parsing, ingestion, chunking, metadata, embeddings, vector storage, retrieval, reranking, context assembly and prompt management.* Apply sound system-design and distributed-systems judgement across structured and unstructured data, with particular … centred interfaces using modern web frameworks and design-system patterns.* Experience integrating applications with enterprise data platforms and working across structured and unstructured data, metadata, semantic or context layers and data-quality controls.* A track record of influencing senior technology and business stakeholders and translating effectively between business outcomes ...

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 ...

stewardship, standards and accountability. The Head of Data Governance will partner with Data Engineering, Data Analytics, BI, Risk, Audit and Compliance to strengthen quality, metadata, lineage and controls. Focused on adoption and trusted decision-making, the Head of Data Governance will help build a culture where data is consistently understood … regulatory metrics and core operational data Data Quality and Issue Resolution: Lead the resolution of data conflicts, inconsistencies and governance issues across business areas Metadata, Lineage and Traceability: Develop and maintain enterprise-wide metadata management, data lineage and traceability capabilities Risk, Audit and Compliance: Act as a key interface ...

platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with ...

World-Class Discovery Experience Lead the UX and service design vision — intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations — inspired by the best consumer marketplace patterns (Kaggle, Spotify … with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks ...

integration between systems. Integrate data from REST APIs and other source systems, working with Parquet and S3-compatible object storage. Implement data validation, assurance, metadata management and traceability to ensure data is accurate, complete and fit for purpose. Develop tools for data-driven insights and task automation, and research …/CD practices and pipelines. Experience developing Data contracts or Interface Control Documents (ICDs). Experience with data validation and assurance. Experience with metadata management, lineage and traceability. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering ...

Farnborough, where innovation meets strategy in groundbreaking technology initiatives. Key Responsibilities: Leading the Data Fabric architecture end-to-end: including integration, processing, storage, metadata/lineage, governance and consumption patterns Establishing and maintaining the architecture roadmap, encompassing technology evolution, capability increments and deployment waves across environments Directing architecture for data … architecture through strategic roadmaps, standards, patterns, and governance Proficient knowledge of on-premises, cloud, and hybrid platforms with a deep understanding of data governance, metadata, lineage, data quality, stewardship, and lifecycle management Experience designing and governing architectures for constrained or mission-critical environments, including edge deployments and contested connectivity patterns ...

SFIA L4 - Enable) Deliver data governance workstreams: policies & standards, roles & RACI, stewardship models, data issue management, and data quality measurement & remediation. Design and implement metadata & cataloguing (business glossary, lineage capture, classification & sensitivity labels) using client-standard platforms. Contribute to AI assurance across the lifecycle: Training data readiness (provenance, quality, representativeness … bring (Essential) Proven experience in data governance delivery, including: Policy & standards, stewardship models, RACI, decision forums. Data quality (dimensions, rules, scorecards, monitoring, remediation). Metadata & catalogue adoption (business glossary, lineage, classification & sensitivity). Privacy & protection in data handling (e.g., DPIAs, retention, access control, auditability). Practical understanding of AI assurance ...

support data management efforts with business owners and technical teams. This role will support one or more information management functions in the following areas: Metadata management to ensure information is understood, Data Quality to ensure data is measured and trusted, Retention Management to ensure data is retained and purged appropriately … data is properly secured and handled based on sensitivity and regulatory requirements. Key tasks include documentation data sources, facilitating Authoritative Data Source certification, managing metadata and data lineage within the Enterprise Data Repository, ensuring data quality, monitoring service level agreements (SLAs) and data quality metrics, and overseeing timely remediation efforts. ...

business process reviews, and solution design sessions. Configure and implement AVEVA AIM solutions based on customer requirements and best practices. Support information model design, metadata configuration, document management structures, and security setup. Assist with system testing, deployment, and user acceptance activities. 2. System Integration & Data Management Develop and support integrations … desirable. Experience participating in customer workshops, solution presentations, or pre‐sales activities is advantageous. Technical Skills Working knowledge of AVEVA AIM configuration, information models, metadata management, and security concepts. Experience with system integration technologies, including REST APIs, XML, JSON, and web services. Development or scripting experience using C#, .NET, PowerShell ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management .* Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models.Desirable:* Experience in AI-related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management.## **WHAT YOU'LL LOVE ABOUT WORKING HERE**As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management . Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models. Desirable: Experience in AI-related data preparation … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management. WHAT YOU'LL LOVE ABOUT WORKING HERE As a Consultant/Senior Consultant, you will have the chance to shape responsible ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management .* Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models.Desirable:* Experience in AI-related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management.## WHAT YOU'LL LOVE ABOUT WORKING HEREAs a Consultant/Senior Consultant, you will have the chance to shape responsible AI foundations ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management .* Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models.Desirable:* Experience in AI-related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management.## WHAT YOU'LL LOVE ABOUT WORKING HEREAs a Consultant/Senior Consultant, you will have the chance to shape responsible AI foundations ...

prior project experience where they led or contributed to data management initiatives - e.g., data catalogue implementation, data lineage mapping, master data consolidation, data quality, metadata management .* Experience defining and operationalising data stewardship roles and responsibilities within federated or centralised data governance models.Desirable:* Experience in AI-related data preparation, data … have experience in one of the following roles: analyst, data engineer, data architect and specialists that have expertise in areas such as metadata management and master data management.## WHAT YOU'LL LOVE ABOUT WORKING HEREAs a Consultant/Senior Consultant, you will have the chance to shape responsible AI foundations ...

database, storage, network and infrastructure.* Onboard new Reuters content partners onto our platforms: configuring ingest pipelines, writing and testing XSLT mappings that transform partner metadata into the format Imagen ingests, and validating that content reaches Reuters Connect correctly.* Integrate customer Imagen systems with Reuters Connect, following an established procedure covering … feed the fix back into code or documentation so it does not recur.* Plan and run media migrations, moving large archives and their metadata between platforms and storage providers, and support the decommissioning of legacy systems.* Document what you build and what you learn, on our internal wiki ...

Consult is seeking an experienced data-architecture leader to own the federated metadata architecture, including the central discovery layer and domain catalogues for market data and reporting. You will collaborate with client teams to extend existing catalogue models and shape the knowledge graph that enables AI-enabled discovery. The role … requires designing domain metadata models, machine-derived metadata strategies, and a robust governance approach, with ownership and stakeholder coordination #J-18808-Ljbffr ...

clients to harness the value of data and AI. We advise across Data Governance, Strategy, Master Data Management (MDM), Data Quality & Observability, Metadata Management and Data Products as well as supporting organisations adoption of AI including Agentic Data Management, AI Observability, Semantic Layers and Ontologies. We are looking for candidates … standards, controls, ownership and stewardship models. Data Quality & Observability: working knowledge of profiling, rule definition, controls, monitoring, issue management, remediation and root-cause analysis. Metadata Management: experience with business glossaries, data catalogues, lineage, classification, metadata standards or data discovery processes and tools. Master & Reference Data Management: understanding of relevant principles ...