76 to 100 of 249 Metadata Management Jobs

diverse business units to create a cohesive, single source of truth. Ensures data structures are optimized for performance, scalability, security, and cost-efficiency. Stakeholder Management: Liaises directly with senior leadership, product owners, and business analysts to translate business strategy into technical data requirements. Guides and directs engineering, application … frameworks (e.g., TOGAF, DAMA-DMBOK) and modern paradigms like Data Mesh. Project Leadership: Proven history of leading high‐impact migration, modernization, or master data management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). ...

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 … 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 Skills Hands ...

Data Management SME London (Hybrid - 1-2 days per week onsite) Up to £80,000 + benefits Permanent We are looking for a Data Management SME to join a growing consultancy delivering strategic data initiatives for leading organisations within regulated industries. This is an excellent opportunity for someone … while ensuring it is governed, protected, and managed effectively. The Role You will work closely with business and technology stakeholders to deliver key data management capabilities, including data governance, data quality, metadata management, and data lineage . You'll play a key role in shaping data strategies ...

they can be readily maintained and enhanced. This encompasses the design and architecture of logical and physical data models and schemas, data transport mechanisms, metadata management, lineage management, API schema design and enabling SIX financial information to be accessible to AI agents. What You Will Do Design … have a core foundation on which we can readily build new revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements ...

Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions. The role combines strong technical expertise with stakeholder engagement, requiring the ability to translate business requirements into sustainable … data solutions while promoting best practice in data engineering, governance, information management, automation, and cyber security. Role accountabilities Design, develop, and maintain scalable data pipelines, integrations, and transformation processes across multiple data sources. Lead the implementation and optimisation of Microsoft Fabric and associated cloud-based data engineering solutions. Build ...

business domains. Optimize schemas for reporting and AI workloads. Define master data and reference data models. Data Governance Establish enterprise data governance standards. Define metadata management strategies. Implement data lineage and catalog solutions. Define data quality frameworks and KPIs. Ensure compliance with GDPR, HIPAA, CCPA, and other regulatory ...

solutions* Lead architecture decisions for cloud and on premises data platforms* Support data warehousing reporting analytics and AIML initiatives* Drive best practices for data management scalability and performance optimization**Your Skills*** Strong experience in Enterprise Data Architecture and Data Strategy.* Expertise in Data Modelling including Conceptual, Logical, and Physical … Data Models.* Strong knowledge of Data Governance, Data Quality, Metadata Management, and Data Lineage.* Experience designing and implementing Data Warehouses, Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data Integration Frameworks.* Experience with Cloud Data Platforms such as Azure, AWS, or GCP. ...

Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability.* Collaborate with cross-functional teams: Work closely with business analysts … data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model.* Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related ...

cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and scalable multi-account patterns (e.g., landing zones) for governed delivery.* Stay ahead of the curve: Continuously learn and adapt to the evolving … environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable ...

with cloud-based data platforms, ideally Microsoft Azure, with exposure to AWS or Google Cloud Platform considered advantageous. Knowledge of data orchestration and workflow management tools, such as Azure Data Factory, to support the efficient movement and transformation of data. Strong understanding of data warehousing concepts, data architecture principles … methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including ...

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 … Experience in managing multiple client environments, ensuring stability and performance optimisation. Eligible for SC clearance Desirable Experience Understanding 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. About ...

Title : Data Management Analyst – AI Governance Location : London/Hybrid – typically 2–3 days per week in the office Salary Range : Competitive, dependent on experience Reporting to : Senior Data and Governance Leadership Type : 12-month fixed-term contract, full-time. Flexible and reduced-hours arrangements may be considered. Overview … opportunity for an experienced Data Analyst to support the development of robust data-management and responsible-AI governance practices within a regulated insurance environment. The role combines traditional data quality, metadata and taxonomy work with emerging AI-monitoring responsibilities. You will help ensure that structured and unstructured data ...

their data. We ADVISE on data, analytics and AI strategy – You will act as a trusted advisor, shaping vision and defining AI‐driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities. We TRANSLATE complexity into clarity – You will guide and influence senior stakeholders … secure buy‐in and drive cultural change toward data‐driven outcomes. We DESIGN operating models – You will define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations. We ENABLE trusted AI and analytics – You will support ...

permissioned against data, the capability is useless, or worse, unsafe. Your job is to close that gap. Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. … core components of its investment and research processes. Requirements: 8+ years in data architecture or data platform roles, including 3+ years in metadata management, data governance or data cataloguing across a large and diverse data estate. Architectural experience with enterprise data catalogues (e.g. DataHub, OpenMetadata, Collibra or similar ...

across critical datasets used in operational and regulatory reporting. Translate governance and reporting requirements into actionable lineage deliverables (source-to-target mapping, lineage diagrams, metadata standards, and audit evidence). Work with Data Platform, Data Engineering, Architecture, Risk, Compliance, and Security teams to define lineage standards, metadata capture … reporting controls, or data transformation programs (preferably in financial services). Core Skills & Experience Minimum 3 years of relevant experience in data governance, lineage, metadata management, or controls programs within finance/banking. Strong understanding of data lineage concepts: technical lineage, business lineage, column-level lineage, impact analysis ...

across the Society that will support our business modernisation and transformation goals. We are looking for enthusiastic data professionals capable of embedding good data management practices across Retail Products. As a Data Governance manager, you will be at the forefront of this exciting initiative. Retail Products look after … What you’ll be doing Working closely with business subject matter experts, you will identify, define and document critical data assets within a central metadata repository, helping to create a clear and consistent understanding of the Society's most important data. You will champion best practice in data management ...

client is a global investment management firm. About this role About Aladdin Data (AD) Data is at the heart of Aladdin and increasingly the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for our clients. The Aladdin Data (AD) team is responsible … Technology & Operations data domains. Partner with business, product and engineering leaders to establish data ownership, accountability and governance standards. Drive adoption of data governance, metadata, lineage, quality and data product standards across multiple organizations. Champion the onboarding, governance and lifecycle management of data products within the Data Marketplace. ...

current and future state business processes, data flows, roles, responsibilities and governance controls Support the definition and adoption of data ownership, stewardship, data quality, metadata management and data issue management processes Support the configuration, adoption and business use of Microsoft Purview capabilities such as the data catalog … development of business glossaries, critical data element definitions, policies, standards and operating procedures Work with stakeholders to define Microsoft Purview glossary terms, ownership models, metadata standards and catalogue enrichment requirements that improve data discoverability and trust Provide clear communication on progress, risks, dependencies and decisions to project teams ...

target-state enterprise architecture. Establish andmaintainenterprise-wide data governance frameworks, including policies, standards, processes, decision rights, operatingmodelsand governance forums that support effective management of data as a strategic business asset. Provide ongoing governance oversight of enterprise data assets, ensuring critical businessprocesses source,manageandconsumedata fromauthorizedsystems of record while promoting consistency … business and technology functions to address data-related issues, remove barriers, and improve governance maturity and stewardship outcomes. Define and implement enterprise data quality management practices, including data quality standards, KPIs,monitoringframeworks, remediationprocessesand executive reporting to improve the reliability and fitness-for-purpose of critical business data. Lead metadata ...

based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience with Data Governance, Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation ...

data standards, data distribution standards and promote data-driven design Create database deliverables ensuring quality and traceability to requirements and adherence to all quality management plans and governance standards Work with the team to ensure that all components work together to meet objectives and performance goals as defined … project Participate in go-live preparation activities such as QA, dress rehearsals, issue remediation, cutover and go-live aftercare Participate in data management maturity assessments to identify gaps and pain points for capabilities including data quality, governance, analytics, metadata management, master data management Seek opportunities ...

looking for Solid Business Analyst experience within data transformation programmes Strong requirements gathering and documentation skills Experience working with data models and data management Business process modelling and workflow design Experience supporting data migration projects User story creation and backlog management Strong workshop facilitation and stakeholder management … Comfortable working across both technical and business teams Useful experience Experience in any of the following would be beneficial: Reference Data or Master Data Management (MDM) CMS implementation Metadata management Data governance Enterprise data platforms Data quality What you’ll help deliver You will play ...

looking for an experienced and detail-oriented Data Management SME to support the delivery of strategic data projects within the financial services sector. You will work with business and technology stakeholders to identify data challenges, analyse requirements and deliver key data management solutions and artefacts, including data glossaries … analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. Why Join Us? We're a purpose-driven ...