101 to 125 of 313 Metadata Management Jobs

high-performance data models, ingestion frameworks, and transformation pipelines supporting both real-time and batch processing workloadsEstablish best practices for data governance, lineage, security, metadata management, and platform observabilityBuild and optimise analytical platforms capable of processing large-scale market, transaction, and reference datasetsWork closely with quantitative researchers, product … governance, security, lineage, and regulatory controls in financial services environmentsStrong software engineering and DevOps mindset, including CI/CD and Infrastructure-as-CodeExcellent stakeholder management and communication skills, capable of influencing architecture decisions across multiple teamsPreferred SkillsExperience building analytics platforms for capital markets, including FX, Fixed Income, Equities ...

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 ...

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. … initiatives. Help shape the long-term vision and operating model of the BlackRock Data Office. Required Experience Bachelor's degree in Technology, Engineering, Data Management, Business or a related discipline. 12+ years of experience in Data Stewardship, Data Governance, Data Management, Data Strategy or related disciplines. Demonstrated experience ...

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 ...

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 ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical ...

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical ...

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 ...

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 ...

delivery at scale. You will work with a broad network of stakeholders to drive meaningful outcomes and support innovation through data. As an Asset Management Data Product Enablement Lead in the Data Platform team, you enable Data Product Managers across Asset Management to create, launch, and mature data … analytics environment, such as product operations, delivery enablement, platform enablement, or workflow and portfolio enablement. Strong understanding of data product concepts and lifecycle management, with the ability to coach others through practical execution. Proven ability to translate operating model and process requirements into actionable guidance and drive consistent adoption ...

ethical data practices across a large and complex organisation. Working within a senior data leadership function, you will help drive accountability for data management across the entire data lifecycle, enabling the delivery of core data governance capabilities and ensuring alignment between enterprise-wide governance and local implementation teams. This … organisation with ambitious growth plans and an exciting portfolio of digital transformation programmes. Key Responsibilities Data Governance & Stewardship Drive accountability and ownership for data management across the full data lifecycle. Support the implementation and continuous improvement of the organisation's Data Governance Framework. Embed effective data ownership and stewardship ...

Operational KPIs, Operating Filters, Operational Power Curves. Manage and prioritise the product backlog, ensuring alignment with business objectives and stakeholder needs across Operations, Asset Management, and other business functions. Act as the primary interface between business stakeholders and your development squad, translating complex business requirements into clear user stories … reliability analysis, and energy loss tracking. Ensure governance and certification standards are met for all Data Assets, working with the Data Governance team on metadata completeness, data quality checks, and certification checklists. Coordinate with cross-functional squads both inside and outside the Data department as well as external partners ...

Operational KPIs, Operating Filters, Operational Power Curves. Manage and prioritise the product backlog, ensuring alignment with business objectives and stakeholder needs across Operations, Asset Management, and other business functions. Act as the primary interface between business stakeholders and your development squad, translating complex business requirements into clear user stories … reliability analysis, and energy loss tracking. Ensure governance and certification standards are met for all Data Assets, working with the Data Governance team on metadata completeness, data quality checks, and certification checklists. Coordinate with cross-functional squads both inside and outside the Data department as well as external partners ...