76 to 100 of 134 Metadata Management Jobs in London

services. Proven experience with data engineering technologies such as Snowflake, SQL, Python, dbt and orchestration frameworks. Strong knowledge of data modelling, data quality, lineage, metadata management, reconciliation and data governance. Experience implementing secure data solutions, including GDPR, PII handling, role-based access controls and audit requirements. Ability … technical trade-offs across cost, scalability, performance, resilience and delivery risk. Demonstrated experience influencing technical direction across multiple teams without direct authority. Strong stakeholder management skills with the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Proven track record of coaching and developing ...

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 ...

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 ...

optimisation activities. Collaborate with solution architects and data engineering teams to define best practices for cloud-native data solutions. Create documentation covering data models, metadata, lineage, and business definitions. Support the ongoing enhancement of the operational resilience data estate. Required Qualifications Strong experience working within Google Cloud Platform … Proven experience with BigQuery data architecture and modelling. Extensive experience in data modelling, including conceptual, logical, and physical models. Strong understanding of data governance, metadata, and data quality principles. experience identifying and integrating data from multiple enterprise systems. Strong stakeholder engagement and communication skills. Preferred Qualifications experience supporting ...

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 … quality ESG 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 ...

customer experience. You will own the product vision, strategy, and roadmap for access and identity, leading the implementation of Zephr as our central access management platform and driving the roll‐out of single sign‐on (SSO) and SAML across our estate. Working closely with Engineering Leads, Data teams, Commercial … Access and Identity, aligning multiple initiatives behind a clear set of outcomes and success measures. Lead the implementation of Zephr as the central access management platform, defining the target model for how customers, accounts, and entitlements are structured and how access is granted, maintained, and reported. Drive the roll ...

leadership for architecting, building and scaling UCL’s enterprise data platform. This includes modern data engineering, cloud data lakehouse development, distributed compute, data modelling, metadata/lineage services, self-service analytics enablement, and AI-driven data automation.About youTo be considered for this exciting and challenging role, the candidate will … preferred).Strong experience designing and building enterprise-grade Data Lakes/Lakehouses, ETL/ELT, streaming, and distributed compute.Expertise in SQL, Python, data modelling, metadata management, data cataloguing and lineage.Strong understanding of governance, security, compliance and data quality frameworks.Experience designing scalable architectures (batch, near-real-time, streaming).Ability ...

Platforms, the Knowledge Engineering & Platform Lead is a senior role responsible for developing and delivering the firm-wide strategy for legal knowledge platforms, ontology management and knowledge engineering. Working with the Global Chief Knowledge Officer and key Knowledge, Technology, Data and AI stakeholders, the role designs the structures, standards … Practice Group SMEs to design and deliver the next generation of legal knowledge solutions for A&O Shearman. Oversee the knowledge engineering and ontology management capability for legal knowledge, ensuring agreed taxonomies, ontology relationships, entity models, metadata standards and governance controls are embedded consistently across platforms. Lead ...

Platforms, the Knowledge Engineering & Platform Lead is a senior role responsible for developing and delivering the firm-wide strategy for legal knowledge platforms, ontology management and knowledge engineering. Working with the Global Chief Knowledge Officer and key Knowledge, Technology, Data and AI stakeholders, the role designs the structures, standards … Practice Group SMEs to design and deliver the next generation of legal knowledge solutions for A&O Shearman. Oversee the knowledge engineering and ontology management capability for legal knowledge, ensuring agreed taxonomies, ontology relationships, entity models, metadata standards and governance controls are embedded consistently across platforms. Lead ...

related asset servicing capabilities.Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff.Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements.Drive data mapping … field-level mapping, calculation logic, timing, distribution requirements, and client sign-off.Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution.Define and manage data requirements for fund accounting, investor servicing, regulatory reporting, performance, alternatives administration, portfolio data, reference data, and client reporting.Responsible ...

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 reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards ...

architecture covering security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy.Define enterprise data platform standards and operational best practices.Guide warehouse sizing, workload management, performance tuning, and cost optimization.Design event-driven architecture using Confluent Cloud.Define topic governance, schema management, security controls, HA/DR, and cluster strategy.Establish … Infrastructure-as-Code, automation, release governance, and quality gates.Establish platform engineering practices supporting continuous delivery and automation.Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards.Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems.Collaborate with business and engineering teams ...

security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

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 ...

security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event-driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

with business, engineering, product, and architecture teams to build scalable data platforms and AI capabilities that drive measurable value while ensuring strong governance, risk management, and regulatory compliance. Key Responsibilities Programme Execution: Lead cross-functional delivery of complex Data & AI initiatives from concept through adoption. Strategic Alignment: Translate business … launch of enterprise data platforms, MLOps, AI-enabled features, and data quality frameworks. Governance & Risk: Ensure solutions comply with data privacy, security, AI risk management, and regulatory standards. Stakeholder Management: Act as a trusted advisor to executive leadership on execution priorities, investments, and performance metrics. Required Qualifications 7+ ...

with business, engineering, product, and architecture teams to build scalable data platforms and AI capabilities that drive measurable value while ensuring strong governance, risk management, and regulatory compliance. Key Responsibilities Programme Execution: Lead cross-functional delivery of complex Data & AI initiatives from concept through adoption. Strategic Alignment: Translate business … launch of enterprise data platforms, MLOps, AI-enabled features, and data quality frameworks. Governance & Risk: Ensure solutions comply with data privacy, security, AI risk management, and regulatory standards. Stakeholder Management: Act as a trusted advisor to executive leadership on execution priorities, investments, and performance metrics. Required Qualifications 7+ ...

containerized services in Kubernetes environments Strong expertise with SQL and NoSQL systems, including schema design and optimization Knowledge of data governance processes, tools, and metadata management solutions Experience with infrastructure as code and platform engineering practices Experience implementing and maintaining CI/CD workflows Understanding of access control ...

Security, Governance and Product teams The ability to translate complex technical decisions into clear recommendations for both technical and non-technical audiences Exposure to metadata management, data cataloguing, data quality or observability platforms would be advantageous. Why consider this opportunity? This is not a purely conceptual architecture position. ...

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 ...

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 ...

explain complex technical concepts to diverse stakeholders Experience working in regulated environments (aviation, financial services, healthcare, or similar) Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third-party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills ...

with upstream and downstream teams to resolve them. Establish and track data quality SLAs/SLOs and report on data health metrics. Contribute to metadata management, including data lineage, definitions, and quality annotations. Support governance initiatives to improve data trust, discoverability, and standardisation across the platform. What … Monitoring and observability tooling for data pipelines and datasets. High-volume streaming and batch datasets covering bets, pricing, settlements, and customer activity. Integration with metadata platforms to provide visibility into lineage, ownership, and quality metrics. Cross-team workflows to manage and resolve data incidents and improve data reliability. Your ...