351 to 375 of 707 Permanent Metadata Jobs

records management standards (retention policies, audit, compliance)Integration with enterprise systems (e.g. SAP, CRM, finance platforms)Automation of document ingestion and classification (OCR, metadata tagging)Reporting and audit capabilities within document management systemsExperience integrating with enterprise services (Active Directory, identity platforms)Exposure to DevOps/CI-CD practicesExperience working ...

functions across major programmes and projects.Deep understanding of ISO 19650, UK BIM Framework, Common Data Environments and information governance practices.Strong knowledge of Information Architecture, metadata, naming conventions, document control and digital delivery processes.Experience implementing enterprise Information Management strategies across multiple geographies and sectors.Strong understanding of project controls, programme management ...

records management standards (retention policies, audit, compliance)Integration with enterprise systems (e.g. SAP, CRM, finance platforms)Automation of document ingestion and classification (OCR, metadata tagging)Reporting and audit capabilities within document management systemsExperience integrating with enterprise services (Active Directory, identity platforms)Exposure to DevOps/CI-CD practicesExperience working ...

Shared Graph Team is a core part of Elsevier’s Search and AI Platform. This team builds structured queries based on relationships and entity metadata hydration, enabling advanced traversal, discovery, and recommendation systems. As a SeniorSoftware Engineer II, you will work with a passionate team that delivers scalable, reliable ...

issues to improve the overall operational stability of applications and systems. Own and maintain the application profile and registration in SOR, ensuring all application metadata, data classifications, and information flows are accurate, current, and compliant with firmwide governance requirements. Partner with Risk and Technology Risk and Controls (TRC) teams ...

recurring issues to improve the overall operational stability of applications and systems.Own and maintain the application profile and registration in SOR, ensuring all application metadata, data classifications, and information flows are accurate, current, and compliant with firmwide governance requirements.Partner with Risk and Technology Risk and Controls (TRC) teams to assess ...

frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI‐powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute ...

evolving, high-volume payloads reliably and at scale — including robust error handling and observability.Data Modelling: Ability to design storage schemas that efficiently represent signed metadata envelopes, artefact graphs, and queryable relationships. API Design: Experience building and versioning APIs consumed by external enterprise customers or third-party integrators.Multi-Tenant Systems ...

expertise, strategic thinking, and collaborative leadership to make data available for AI/analytics, provide transparency into data flows, embed preventative controls, and enrich metadata to accelerate adoption. Job Responsibilities Provision New/Different Data - Make data available for AI and analytics initiatives, working closely with use case owners … quality (COPQ) and Demonstrate control environment improvements and reduction in toil to achieve benefits through common tooling and frameworks Uplift Existing Data - Uplift the metadata (semantic layer) of existing data to make it more valuable to users and AI applications (AKA "Brownfield" data enrichment) and Support AI and Natural Language ...

identification to resolution, improving client experience and driving operational efficiencyDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness ...

layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality, governance, metadata, and performance optimisation Maintain documentation including data models, data dictionaries, and architecture diagrams Assist with CI/CD pipelines and deployment processes (Azure DevOps) Profile … pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding and supporting developers without formal leadership responsibility Exposure to metadata management, data governance, and data quality frameworks Experience with CI/CD (Azure DevOps, Gi t) and ideally scripting (Python/PySpark) Job Offer ...

identification to resolution, improving client experience and driving operational efficiencyDemonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms)Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguingExcellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadershipExperience with data quality frameworks, including ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver data … data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Excellent communication skills with the ability to convey complex technical concepts to diverse audiences, including executive leadership Experience with data quality ...

Bronze, Silver, Gold)Create enterprise-wide data models supporting Finance, Analytics and Reporting use casesDesign and implement reusable Data Engineering Frameworks and Solution AcceleratorsDevelop metadata-driven ingestion, transformation and orchestration frameworksDefine governance, lineage, security and cataloguing standards across the platformProvide architecture leadership across Databricks, Azure and Power BI ecosystemsWork closely … Operations (D365 F&O)Azure DevOpsPower BITerraformCI/CDIdeal CandidateWe are particularly interested in Enterprise Data Architects who have built and implemented Databricks frameworks, metadata-driven architectures, reusable engineering patterns and enterprise-scale data platforms, rather than candidates with only high-level Databricks exposure. Experience working on large-scale Azure ...

successful candidate will work closely with business stakeholders and technical teams to improve reporting solutions, troubleshoot data and access issues, and ensure RPD metadata, presentation layers, and BI subject areas are reliable, usable, and aligned with business needs.Key ResponsibilitiesReport Development and DevOps• Design, develop, and maintain reports, dashboards, analyses … enhancements.• Perform unit testing and integrated testing of BI solutions.• Document BI reporting solutions and technical specifications.• Support production reporting applications and troubleshoot reporting, metadata, and access issues.• Promote reporting standards and visualization best practices.• Develop ad hoc reports using Oracle reporting tools such as BI Publisher.• Develop and maintain ...

Data Governance Consultant Permanent Location: Home/Bristol (Hybrid) Salary: £75,000 - £80,000 (+ benefits) Skills: SC Clearance, Data Governance, Data Quality, Metadata Management, Data Lineage, Data Stewardship We are looking to recruit an SC Cleared Data Governance Consultant for a leading technology consultancy click apply for full ...

strategies and architectures for Fund accounting, Fund Administration, ETFs, IBOR, and ABOR, ensuring governance and regulatory alignment. You will lead data modeling, lineage, and metadata strategies, collaborate with engineering teams, and enable reporting for regulatory filings and client statements in a complex financial data environment. #J-18808-Ljbffr ...

contract in London to evolve the data management capability across our Enterprise Data Platform. You will define the vision, requirements and design for governance, metadata, data quality, and data products while partnering with security and privacy teams. You will own the data governance roadmap, align standards with the enterprise framework ...

current-state assessment, target-state OT data architecture, logical data models, source-to-target mapping principles, data product standards, metadata and lineage requirements, normalisationpatterns,and governance recommendations. Proven experience in enterprise or solution data architecture within complex environments. Strong capability in conceptual,logicalandcanonicaldata modelling. Experience designing data products,standardsand governance ...

Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible ...

large-scale data processing and feature engineering solutions using technologies such as PySpark and Databricks. Create multimodal machine learning models that combine image, text, metadata, and behavioural data to enhance forecasting and AI capabilities. Collaborate with Applied Scientists, Data Engineers, Product Managers, and business stakeholders to productionise innovative machine learning ...

ecosystem and external systems Develop and maintain Power Apps and Power Automate solutions (SharePoint-led data environments) Design and manage information architecture , including metadata, taxonomy, and search optimisation Deliver business process automation to support operational workflows Ensure security, compliance, and data governance standards are met Support deployment, release management ...

competitor research to identify opportunities across paid and organic search. Implement SEO strategies across multiple client websites. Carry out on-page optimisation, including content, metadata, internal linking and site structure. Support technical SEO audits and identify opportunities to improve website performance and rankings. Monitor organic visibility, rankings, traffic and conversions. ...

vision techniques to satellite imagery for vessel detection, classification, and attribution. Work with large-scale geospatial and time-series datasets (AIS tracks, imagery, vessel metadata) to build and validate detection and prediction models. Take models from prototype through to production, working with engineering to deploy on GCP. Investigate new data ...

escalation/support path.Build and enhance operational dashboard, comprising of all critical and non-critical path datasets; effectively interpret existing data and create new metadata to identify inefficiencies of the entire trading lifecycle.Build and maintain scripted toolset to enhance areas of data analytics, application configuration/deployment, data consolidation ...