51 to 75 of 108 Remote/Hybrid Metadata Management Jobs

large-scale data migration solutions. Experience with AWS services such as Lambda, DynamoDB, S3, and related cloud-native technologies. Strong communication and stakeholder management skills. Understanding of content modelling, metadata management, taxonomy design, and information architecture principles. Hands-on experience with relational and NoSQL databases. Familiarity with … time-series, geospatial, and image data. Experience with containerisation technologies and public or private cloud environments. Understanding of information security, data governance, and data management best practices. Experience delivering high-quality technical solutions to agreed timescales, ideally within stakeholder-facing or customer-facing environments. Desirable: Experience designing data architectures ...

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 ...

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 ...

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 ...

Data Vault, dimensional modelling). • Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. • Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. • Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed … analytics consumption. • Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. • Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value. • Familiarity with infrastructure as code to ensure architectural consistency and deployment scalability. • Able to inspire, guide ...

Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed … analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value. Familiarity with infrastructure as code to ensure architectural consistency and deployment scalability. Able to inspire, guide ...

Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed … analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value. Familiarity with infrastructure as code to ensure architectural consistency and deployment scalability. Able to inspire, guide ...

warehousing concepts and dimensional modelling Experience with CI/CD pipelines using Azure DevOps or GitHub Understanding cloud architecture and distributed data processing Data Management Experience with ETL/ELT frameworks and data integration patterns Knowledge of data quality, data governance and metadata management Familiarity with ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption ...

Develop and embed the Data Governance Framework, Operating Model and roadmap Establish Data Owner and Data Steward roles and governance forums Develop data cataloguing, metadata management and business glossary capabilities Work with teams to map data across systems and identify risks and opportunities Provide guidance, training and support … senior leaders Develop business cases, manage budgets and support data-related change initiatives What We Need Youll have experience in data governance or data management within a complex organisation, with a strong understanding of data quality, ownership and stewardship. Youll also bring: Experience designing and implementing Data Governance Frameworks ...

Google Cloud data services and modern data platforms. Experience with data modelling techniques including dimensional, relational or Data Vault modelling. Knowledge of data governance, metadata management and data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with … platforms such as Snowflake or Microsoft Fabric. Experience delivering analytics and reporting solutions using tools such as Power BI, Tableau or Looker. Strong stakeholder management skills with the ability to communicate complex technical solutions to both technical and non-technical audiences. Previous experience leading projects, workstreams or technical teams. ...

planning, acceptance criteria. – Define and maintain KPI and metric definitions for consistency. – Set data quality rules, validation criteria, and operational checks. – Champion data stewardship, metadata, and governance best practice. – Partner with BI/analytics teams to ensure data products meet user needs. – Support UAT, data validation, and troubleshooting … work with both business stakeholders and technical teams to deliver data-driven solutions. – Experience working with Agile methodologies and delivery frameworks. – Excellent stakeholder management, communication, and facilitation skills. – Knowledge of data governance, metadata management, and data stewardship principles. Desirable Skills: – Experience with BI tools like Power ...

client is a global investment management company. The Senior ESG Data Operations Analyst is responsible for ensuring ESG investment data is accurate, timely, controlled and available to consumers across our client globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management … available to consumers across our client globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management activities by managing ESG data operations, controls and exception processes. The analyst partners with internal stakeholders, data consumers and external suppliers to resolve data quality ...

including approval criteria, checklists and exception management. Drive data ownership, stewardship and accountability across business and technical teams. Lead the adoption of data catalogue, metadata, classification and lineage standards. Oversee data quality frameworks including monitoring, controls, thresholds and remediation processes. Partner with engineering, analytics, security, privacy and business stakeholders … measures to drive continuous improvement. Deliver education, coaching and communication activities that support governance adoption across the organisation. Provide governance assurance through reporting, risk management and evidence-based recommendations. Why you'll love it here: Play a pivotal role in shaping Whitbread's data governance strategy and future data ...

regulatory considerations into scalable, production-ready AI architectures. Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Knowledge Management Platforms Enterprise Workflow Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such … data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation. Facilitate client workshops and present ...

controlled and available to consumers across Vanguard globally. The role supports regulatory compliance, product development and oversight, investment stewardship, marketing and distribution, and investment management activities by managing ESG data operations, controls and exception processes. The analyst partners with internal stakeholders, data consumers and external suppliers to resolve data … data, manage operational risk and continuously improve ESG data processes and services. You will join a team of specialists responsible for the operational management of ESG investment data used across Vanguard globally. The team acquires, manages, controls and distributes ESG data and calculated ESG metrics that enable regulatory compliance ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

That means our work is judged on correctness and reliability, because every system built on top of ours is only as good as the metadata we provide. This is a backend role focused on data management, working on the problems at the core of any large data platform … consumers only read complete data. We build on open standards like OpenLineage and Apache Iceberg, and define the internal standards for naming, storage and metadata that the rest of Spotify builds against. As the platform takes on new storage technologies and new kinds of data assets, those standards ...

support initiatives that improve the quality, consistency and integrity of the Firm's data. The successful candidate will possess strong analytical and stakeholder management skills, enabling them to communicate the objectives and benefits of the Data Strategy effectively at all levels of the organisation and drive the adoption … across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...