76 to 100 of 193 Metadata Management Jobs

Senior Data Management Professional - Data Quality - Entities Data (Private Markets) Location London Business Area Data Ref # 10052950 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around … underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs.What’s the Role As a Data Quality Manager, you will define ...

delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production supportStrong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controlsExcellent documentation skills with the ability to create and maintain solution designs, data … dictionaries, business glossaries and technical standardsStrong stakeholder management, communication and business partnering skills with the ability to translate business requirements into data solutionsExperience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirableKnowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageousChange ...

delivery methodologies including requirements and discovery, Agile delivery, testing, deployment, and post-production supportStrong understanding of data governance and security frameworks including data quality, metadata management, lineage, user and permission management, compliance, and access controlsExcellent documentation skills with the ability to create and maintain solution designs, data … dictionaries, business glossaries and technical standardsStrong stakeholder management, communication and business partnering skills with the ability to translate business requirements into data solutionsExperience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirableKnowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageousChange ...

that it is in line with the business data strategy, taking into consideration the various data sources, information assets, consumers of it, and the management systems. You will be operating within one of the areas of the business, such as Crime, Civil, Family & Tribunals, Judicial and Operations or Headquarters … ensure it is aligned with strategy (and other) needs. Contribute to the wider HMCTS information model as required; Ensure the information model and its metadata is integrated with wider architectures (business, technology, security etc.) needs, within the business function that you are responsible for; Advises stakeholders on improvements ...

that it is in line with the business data strategy, taking into consideration the various data sources, information assets, consumers of it, and the management systems. You will be operating within one of the areas of the business, such as Crime, Civil, Family & Tribunals, Judicial and Operations or Headquarters … ensure it is aligned with strategy (and other) needs. Contribute to the wider HMCTS information model as required; Ensure the information model and its metadata is integrated with wider architectures (business, technology, security etc.) needs, within the business function that you are responsible for; Advises stakeholders on improvements ...

data discovery capabilities that improve access to enterprise knowledge.Build natural language interfaces that enable non-technical users to interact effectively with complex datasets.Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement.Act … enterprise data platforms such as Snowflake.Strong analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical solutions.Excellent communication and stakeholder management skills.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical … modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.Excellent communication and stakeholder management skills, with the ability to influence both ...

Alpha Data Implementation organization is seeking individuals with subject matter expertise spanning a wide array of financial instrument types and working knowledge of Asset Management Data Domains to join our team as an Implementation Business Analyst.Why is this role importantImplementation Business Analysts are at the heart of continued growth … mapping as part of initial client implementations.Define and maintain standards around data ingestion, enrichment and validation of client portfolio data into our Enterprise Data Management solution.Perform in-depth analysis of the functional capabilities inherent to our existing and emerging data platform.Document product specifications and prepare business cases to drive ...

into executable roadmaps, technical requirements, and delivery plans for data, analytics, machine learning, and AI solutions **Drive alignment across Product, Engineering, Data Science, Data Management, Architecture, Governance, and Operations teams **Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment … data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital ...

into executable roadmaps, technical requirements, and delivery plans for data, analytics, machine learning, and AI solutions **Drive alignment across Product, Engineering, Data Science, Data Management, Architecture, Governance, and Operations teams **Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment … data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital ...

reporting issues. Implement monitoring, validation and quality controls across data pipelines. Support the delivery of dashboards, reports and analytical outputs. Maintain data lineage, metadata and technical documentation. Contribute to data architecture and technical design discussions. Support onboarding of new data sources, integrations and technologies. Participate in Agile ceremonies including … reconciliation techniques. Experience creating and optimising reporting datasets and semantic models. Knowledge of data warehouse and data lake architectures. Experience with data governance, metadata management and data lineage. Excellent analytical and problem-solving skills. Experience working within Agile delivery environments. Strong stakeholder engagement and communication skills. ...

large-scale data pipelines and database workloads. Support analytics, reporting, AI/ML, and advanced data science initiatives through reliable data delivery. Implement metadata management, lineage tracking, and data cataloging solutions. Troubleshoot production issues and perform root cause analysis for data-related incidents. Participate in code reviews, architecture … Master's degree in Computer Science, Information Technology, Data Engineering, or related field. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work independently in fast-paced environments. Strong collaboration and mentoring capabilities. Commitment to quality, scalability, and continuous improvement. Benefits Our Benefits Include ...

optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation.Experience with SSIS for ETL processes and legacy data integration tasks.Expertise in designing and implementing CI/CD pipelines using tools such … engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside ...

optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation.Experience with SSIS for ETL processes and legacy data integration tasks.Expertise in designing and implementing CI/CD pipelines using tools such … engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside ...

optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation.Experience with SSIS for ETL processes and legacy data integration tasks.Expertise in designing and implementing CI/CD pipelines using tools such … engaging both technical and non-technical stakeholders.Experience in managing multiple client environments, ensuring stability and performance optimisation.Desirable ExperienceUnderstanding of data governance, data quality, and metadata management practices.Exposure to IT Service Management (ITSM) tools like ServiceNow.Knowledge of monitoring tools like Azure Monitor and Log Analytics.What makes us greatAlongside ...

Genie, Mosaic AI capabilities, Microsoft Fabric Copilot and Fabric Data Agent-style solutions where appropriate. · Ground AI outputs in governed data sources, semantic models, metadata, business definitions and reusable data products. · Support implementation of Retrieval Augmented Generation (RAG), vector search, semantic search and enterprise knowledge retrieval where aligned … reusable delivery playbooks. Enterprise readiness and governance · Help make AI-enabled solutions enterprise-ready by considering access control, security, privacy, data lineage, observability, cost management and operational support. · Work with platform governance features such as role-based access control, catalogues, sensitivity labels, lineage, model or agent governance and auditability. ...

technologies.Governance, Licensing & Operational ControlPartner with governance, compliance, audit, commercial, and technology stakeholders to strengthen market data governance, data quality, lineage, observability, licensing compliance, entitlement management, redistribution controls, and operational risk management. Improve transparency of market data ownership, usage, consumption, and lifecycle controls across Shell Energy Trading. … Commercial & Knowledge EnablementBuild strong relationships with trading desks, Quants, Risk, Finance, Operations, Technology, Architecture, vendors, and governance teams. Lead through influence rather than line management, partnering with Technology teams, vendors, and a broader matrix of delivery and commercial stakeholders to execute against the strategy. Partner on subscription onboarding, commercial ...

streaming data solutions.Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code.Expertise in data modelling, data warehousing, and master data management principles.Strong understanding of data governance, metadata management, and data quality frameworks.Desirable Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace ...

optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.Develop and manage applications and visualization tools, contributing to novel data products … Data Engineering, Software Engineering or a closely related discipline; PhD preferred.Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence ...

DATA PRODUCT CATALOGUE) solution in the target Development environment. Define target architecture for application hosting, database connectivity (PostgreSQL, Neo4j), secrets management, and platform integrations, in line with GDP architectural standards. Lead architecture and Design Authority (DA) governance reviews to secure approval. Assess existing DPC (DATA PRODUCT CATALOGUE) codebase, application … architecture, and deployment artefacts; define refactoring approach to replace local components with enterprise services. Design integration connectivity with enterprise metadata and lineage services. Manage end-to-end delivery plan across design, build, integration, and deployment phases. Coordinate with platform team on environment setup and governance/DA processes. Required ...

data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data ...

architectural solutions. Provide strategic oversight of data architecture, ensuring consistency across initiatives. Drive best practice in areas including: Data architecture Entity resolution Master Data Management (MDM) Data governance Data quality Metadata management Produce high-quality architecture artefacts, standards and design documentation. Provide architectural assurance and governance … architectures. Strong background in enterprise data modelling and architecture frameworks. Experience defining data architecture principles, standards and governance models. Demonstrable experience with: Master Data Management (MDM) Data Governance Entity Resolution Data Integration Data Quality Excellent stakeholder management skills with the ability to communicate effectively at senior leadership level. ...

Data team. In this role, you will support the development, delivery, and continuous improvement of data products that enable smarter planning, design, optimization, and management of the electricity transmission network across England and Wales.Working closely with the Data Product Manager, business stakeholders, engineers, architects, analysts, and development teams … SkillsData Product OwnershipProduct Backlog ManagementAgile/Scrum MethodologiesRequirements Gathering & AnalysisUser Story CreationStakeholder ManagementBusiness AnalysisData GovernanceData Quality ManagementData Lifecycle ManagementData Product Lifecycle ManagementSecondary SkillsData Lineage & Metadata ManagementMaster Data Management (MDM)API-Based Data ProductsData IntegrationPower BI/Data VisualizationProduct Roadmap DevelopmentUser Research & Product DiscoveryTest Coordination & User Acceptance TestingAnalytics & ReportingOperational ...

engagements are predominantly with organisations facing important transitions. Engagements are typically driven by business unit leaders, CDOs, COOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. … data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business ...

Business Intelligence group is a center of excellence at the Firm for data analytics, data management and data governance, with a focus on enhancing data and analytics literacy, reliability and accessibility, and developing an umbrella strategy for data and information governance throughout the Firm. The group is responsible … service delivery, led by Chief Innovation Officer Isabel Parker. The team integrates expertise in technology, data science, research, market intelligence, process excellence, and change management to build practice-relevant solutions. Within Practice Solutions sits the Practice Technology Transactions sub-function, which drives technology-enabled transformation across transactional practice areas ...