151 to 167 of 167 Permanent Metadata Management Jobs

join us on our journey.The GIS Lead is responsible for managing the design, implementation, and maintenance of the GIS infrastructure. This includes developing management plans to govern GIS data collection, database management, spatial analysis, and mapping projects. The GIS Lead ensures the effective integration of GIS technology into … responsible for:Digital transformationDefine the strategic direction of GIS services within Mace Consult, ensuring alignment with the consultancy’s digital, BIM, information management and wider business strategies. Manage innovation in GIS applications for construction and infrastructure projects, identifying new use cases that improve delivery, assurance, asset insight and operational ...

retrieve, reason over, and act on enterprise data (with guidance on architecture and safety).Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently.LLM-Powered Analytics - Prototype LLM-enabled features for summarisation, insight narration, and conversational analytics … architectures, and embedding-based retrieval.Experience with containerisation (Docker) and/or CI/CD pipelines.Exposure to data modelling (including dimensional modelling) and/or metadata management.Why Fitch At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together ...

customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation. *Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customers. … analytics workloads- Modern data platform design and implementation- ETL/ELT pipeline development and optimization (Glue, EMR)- Data warehousing solutions (Redshift)- Data catalog management and metadata governancePreferred qualification - Experience in IT implementation- Data quality and lineage frameworks- Data security, compliance, and access controls- Performance optimization for data processing ...

analytics workloads- Modern data platform design and implementation- ETL/ELT pipeline development and optimization (Glue, EMR)- Data warehousing solutions (Redshift)- Data catalog management and metadata governance- Data quality and lineage frameworksPreferred qualification - Experience and technical expertise (design and implementation) in cloud computing technologies- Experience in large scale ...

routine audits to maintain high levels of data quality.Cross-Functional Coordination: Collaborating with IT, data engineering, and business leads to ensure data definitions, metadata standards, and quality benchmarks are uniformly applied across the marketing organization.Integration and Data Pipelines Across MarTech/AdTechData Consolidation: Establishing integration architectures that consolidate data … into a single source of truth, such as a centralized data fabric, which enhances marketing personalization and measurement.Pipeline Management: Designing and monitoring reliable data pipelines that can support real-time analytics, reporting, and feed into machine learning or AI-driven decision-making tools.API and Interoperability Standards: Ensuring that integration ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...

business requirements, data models, master data standards, prioritisation, adoption and delivery plans.Go‐to Data Manager responsibilities for the domainSteward business data definitions, ownership, lineage, metadata, quality KPIs, access requirements and product adoption metrics; chair data change forums and ensure decisions are grounded in commodities trading context.Apply Shell’s technical … recoverability and cyber hygiene; meet controls for data privacy, confidentiality and regulatory obligations in trading (e.g., REMIT/EMIR, privacy).Drive incident, change & problem management; measure and report service health and user satisfaction.What you bring Deep commodities data knowledge, ideally within energy trading, including ETRM/Endur workflows, market ...

data ingestion, cleansing, transformation, validation, and documentation. Support semantic model design and lead/support UAT, issue tracking, and sign-off. Maintain data governance, metadata, and quality standards across datasets. Ensure compliance with privacy, security, regulatory, and internal policy requirement. Required Skills & Experience: Bachelor’s degree in Data Science … Information Systems, Computer Science, Business Analytics, or a related field Experience in data management, business analysis, commercial analytics, or data governance. Experience supporting AI, analytics, digital, or data product initiatives. Experience working with international or multi-regional data environments and CRM data structures. Experience translating business needs into data ...

strong hands-on PySpark experience. Strong understanding of dimensional modelling, semantic layers and analytics engineering. Proven experience with Databricks and Lakehouse architectures. Excellent stakeholder management and communication skills. Experience providing technical leadership or mentoring. Desirable: Experience with Unity Catalog, dbt or similar transformation frameworks. Knowledge of Delta Lake, data … governance and metadata management. Experience with CI/CD and automated testing. ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients.As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … with data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance.Job Responsibilities:Execute data management and data risk responsibilities across the entire data lifecycleEnsure responsible use, sharing, and protection of data, maintaining quality and reliabilityDefine, describe, and register data ...

scale data migrations, and deliver best-practice modelling solutions aligned to industry standards.What You’ll DoConduct business analysis to define data requirements and support metadata managementDesign and deliver conceptual, logical, and physical data models for complex data programmesIdentify data entities and relationships and map source-to-target transformationsSupport data … layers and standards (conceptual, logical, physical)Familiarity with financial reference models such as fpML, FIX, or FIBOSkilled in data model documentation, stakeholder engagement, and metadata practicesUnderstanding of RDBMS, UML, JSON/XML schemas, and project lifecycles (Agile preferred)Bonus Points ForHands-on experience with data modelling tools such ...

learning platform and help shape the future of its online learning offering. This is a varied role combining learning technology, digital learning design, platform management, content development and data-led continuous improvement. You will play a key role in ensuring digital learning delivers an engaging, accessible and high-quality … content owners on learning objectives, pathways and curriculum design. Commissioning, curating and overseeing digital learning content across multiple formats. Managing content publishing, migration, lifecycle management, taxonomy, metadata and quality assurance. Evaluating learner journeys and identifying opportunities to improve engagement, completion rates and learning outcomes. Developing dashboards, analytics ...

Recruit are working with a national building services, engineering and property management company specialising in residential and large-scale infrastructure projects to help onboard a new Data Management Lead. We are seeking an experienced Data Management Lead to oversee the accuracy, security and organization of our Data … Location - Telford Office with very occasional multi-site travel. 5 days in office. 8am to 5pm Duties and Responsibilities Lead and manage data management processes across the business. Ensure data is accurate, consistent, complete, valid and up to date. Develop and maintain data governance policies, procedures and quality standards. ...

processes for ongoing quality assuranceCollaborationPartner with data engineering, ontology, and AI teamsAlign quality standards with enterprise data governance frameworksPromote best practices in data quality management and validationRequired SkillsData Quality Frameworks (profiling, validation, governance)Graph AnalyticsCypher (querying and validation in graph environments)Audit Methodology (data audits, controls, compliance)Preferred SkillsExperience … with knowledge graphs/Neo4jData governance and metadata managementDashboarding tools (Power BI, Tableau, etc.)Exposure to AI/ML data validation practicesJob ExpectationsEstablish and drive enterprise-grade data quality standardsEnsure continuous monitoring and improvement of knowledge graph qualityDeliver actionable insights and measurable improvementsEnable trust and reliability ...

recruiting for a Data Governance Analyst – Metadata on behalf of one of the UK's most recognised and celebrated personal lines insurers. The successful candidate will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across the organisation. Operating … period of large-scale business transformation and innovation, offering strong development and progression. Key Responsibilities Supporting the successful planning and delivery of the metadata roadmap, whilst taking on and owning deliveries within it. Developing new capabilities within Collibra and Unity Catalog to enhance the maturity of data governance tools. ...