76 to 100 of 167 Permanent Metadata Management Jobs

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 ...

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 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 ...

About Northern TrustAs a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That … business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide and control the creation of data ...

teams, and stakeholders to enable self-serve analytics and consumption.Good to have• Experience in banking or financial services data platforms.• Familiarity with data governance, metadata management, and regulatory reportingPersonalBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include ...

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 ...

Controlled Vocabularies with Business Partners and the Chief Data Office.Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts.Guides evaluation of current technology and leads evaluation of new technologies using existing standards … technical operations and processes.Serves as a function-wide subject matter expert in one or more areas of focus.Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models.Adds to team culture of diversity, opportunity, inclusion, and respect.Required qualifications, capabilities, and skillsHands-on practical experience ...

services group in the HE sector, and we are growing our team’s capability in AI, experience/UX, agile development, security, cloud, service management and partnering. We are modernising our technology foundations, digitising the processes of the university to transform experience for students and staff, and partnering across … track record of designing and governing large-scale data and integration solutions across analytics and operational systems.Deep understanding of data governance, including data quality, metadata management, stewardship, and architectural assurance.Experience designing API‐led and event driven integration architectures.Practical experience architecting AI‐enabled data solutions, with an understanding ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real ...

beneficialA good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architecturesExpopsure to data governance frameworks, metadata management, and regulatory compliancIt would be a bonus if you have:Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics.AI: You have a deep expertise or experience ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisations strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

governance framework across Fabric, Purview, and the AI-enabled IT Azure analytics platform.Support IT to author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage.Support master and reference data alignment — developing definitions, KPIs, and semantic standards across global domains.Implement international … catalogue, classification, lineage, glossary, data ownership, and certified dataset processes end-to-end.Ensure all enterprise data assets are classified, owned, documented, and auditable.Embed governance metadata and lineage into data platform delivery as a standard engineering practice.Define and operate governance controls for AI-enabled data consumption through the central Azure ...

governance framework across Fabric, Purview, and the AI-enabled IT Azure analytics platform.Support IT to author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage.Support master and reference data alignment — developing definitions, KPIs, and semantic standards across global domains.Implement international … catalogue, classification, lineage, glossary, data ownership, and certified dataset processes end-to-end.Ensure all enterprise data assets are classified, owned, documented, and auditable.Embed governance metadata and lineage into data platform delivery as a standard engineering practice.Define and operate governance controls for AI-enabled data consumption through the central Azure ...