51 to 75 of 111 Metadata Management Jobs in London

with solution architects and data engineering teams to define and promote best practices for cloud-native data solutions. Create clear documentation for data models, metadata, data lineage, and business definitions to support transparency and reuse. Contribute to the ongoing enhancement and evolution of the operational resilience data estate, ensuring … production environment. Extensive experience in data modelling, including the design of conceptual, logical, and physical data models. Strong understanding of data governance, metadata management, and data quality principles. experience identifying, sourcing, and integrating data from multiple enterprise systems. Ability to translate complex business requirements into scalable and maintainable ...

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. ...

delivery in three core areas which all work closely together: Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions … mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning ...

Description Summary: About the role: We are looking for a Senior Director, Costa Coffee Global Master Data Management, to join our team. This role leads an 8-member strong Costa Coffee Global Master Data Management team which is part of a group called Global Master Data Management … master data assets that are trusted, accurate, governed by data standards, automated, connected, understood & easily accessible. The Senior Director, Costa Coffee Global Master Data Management, is responsible for defining and executing the Costa Coffee Global Master Data Management (MDM) strategy, operating model, governance framework, and operational roadmap. This ...

reporting and operational use casesEnsure data quality through validation controls reconciliation processes and referential integrity checksDesign and implement workflow orchestration monitoring alerting and SLA management processesDrive performance optimisation and tuning across data pipelines processing jobs and storage layersContribute to CICD implementation and DevOps best practices for data engineering solutionsSupport … data governance initiatives including metadata management data cataloguing lineage and access control frameworksEnsure compliance with security privacy retention and regulatory requirementsYour Skills:Strong handson experience with Azure Databricks and Azure Data FactoryProven expertise in SQL Python and PySpark developmentExtensive experience in designing and implementing enterprisegrade data pipelinesStrong understanding ...

Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).Data Platforms: Hands-on experience with Snowflake and data ...

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 ...

Define Data Ownership, Data Stewardship, RACI and decision rights. Establish governance forums, councils and escalation mechanisms. Define and implement governance processes covering: Data Quality Metadata Management Business Glossary Data Classification Data Ownership & Stewardship Data Controls Master & Reference Data Define governance KPIs and maturity measures. Drive adoption of governance … solution designs delivered by project teams and technology partners. Ensure solutions are scalable, secure, resilient and fit for long-term business requirements. Master Data Management (MDM) Demonstrate a strong understanding of Master Data Management (MDM) concepts, principles and implementation approaches. Identify key master data domains and define appropriate ...

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 ...

similar technologies) Strong, hands-on AWS cloud experience including services such as S3, Glue, Lake Formation, Athena, and Redshift Demonstrated expertise in PII data management, including encryption, masking, and access control mechanisms Experience building and maintaining ML feature stores or production ML pipelines Familiarity with AI/ML model … requiring sponsorship Desirable Qualifications AWS Certifications (Solutions Architect Associate or Professional, Data Analytics Specialty, AI or related credentials) Experience with data governance tools and metadata management platforms Experience delivering data solutions to enterprise clients Experience in the Telco & Media industry Experience building and Experience with generative AI tools ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities: Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What You’ll Work On A modern sportsbook data platform built on AWS, supporting both real‐time and batch … data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years experience in data engineering, building and maintaining scalable data platforms. ...

Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview … reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications ...

managed to high standards across an organisation? Do you enjoy collaborating across business and technical teams to drive adoption of governance, quality, and data management best practices? About the Business At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions … data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock new opportunities. About ...

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 ...

contributing to data architecture and applying established design patterns Strong understanding of data migration, data analysis, data modelling, data integration patterns and data lifecycle management Experience with master data, operational data stores, analytical platforms and distributed data systems Knowledge of relational and non-relational database technologies, including schema design … scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm ...

business stakeholders. Support migration from legacy systems to modern cloud-based data platforms. Perform source-to-target mapping and data lineage analysis. Define metadata, data quality and governance requirements. Produce architecture and design documentation. Model and analyse data from Salesforce and associated enterprise systems. Essential Experience Strong Data Modelling … dimensional modelling knowledge. Strong SQL and data analysis skills. Experience with cloud platforms such as Azure, AWS or Databricks . Data Governance, Lineage and Metadata Management experience. Desirable Financial Services, Lending or Vehicle Finance experience. Data migration and transformation programme experience. Exposure to modern data platforms and DevOps ...

managed to high standards across an organisation? Do you enjoy collaborating across business and technical teams to drive adoption of governance, quality, and data management best practices? About the BusinessAt ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing … data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock new opportunities. About ...

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 ...

them into relevant roadmaps. Identify and drive opportunities to apply AI across CDO data capabilities and processes , including data operations, data governance, master data management, and others. Lead targeted experimentation with emerging AI and data technologies , validating high-value approaches and establishing a path from proof of concept … architectures, including generative AI, large language models, retrieval approaches and agentic AI. Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture. Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies ...

ensure that data solutions are scalable, secure and fit for purpose. The role combines hands-on data architecture, client consulting, technical leadership and people management, making it well suited to an experienced Data Architect who is ready to take greater ownership of both technical delivery and the development … regulatory requirements. Establish and promote data architecture standards, patterns, methodologies and best practices. Support the resolution of complex data definition, ownership, mastering and information-management challenges. Contribute to solution-level and enterprise data architecture decisions where required. Evaluate and recommend appropriate data technologies and products based on client requirements. ...

practices around security, scalability, performance and cost optimisation . Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate … Engineering/Data Architecture , with strong experience designing ETL processes, data pipelines and data storage solutions. Previous experience working within a technology, data or management consultancy in a client-facing capacity. Experience leading data engineering projects, workstreams or technical teams. Strong knowledge of cloud data platforms and modern data ...

foundation for data exchange, AI training, and digital twin deployment Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking Translate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teams Define … communications systems concentration, or equivalent experience Experience: 15+ years of experience in the telecom software industry with at least 5+ years of product line management experience Application of telecom data modeling, schema design, graph or ontology structures, and enterprise data management tools Application of AI and ML data ...

requirements. The role will lead the development of an integrated enterprise capability spanning Structured Content Authoring, IDMP data governance, regulatory master data, controlled terminology, metadata management and information architecture. Working across Regulatory Affairs, Regulatory Data Management, Labelling, CMC, Clinical, Safety, Quality, Manufacturing, Supply Chain, Technology and Data … with Regulatory Technology, enterprise architecture and data engineering teams, you will shape the future-state architecture connecting RIM platforms, structured content solutions, master data management, terminology services, publishing platforms, analytics and AI-enabled capabilities. Ensure that automation, AI and advanced regulatory technologies are grounded in trusted, governed and traceable ...