51 to 75 of 110 Metadata Management Jobs in London

current and target-state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management initiatives. Ensure … thought leader, mentoring architects, analysts, and data teams. Essential Skills & Experience Strong enterprise-level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end-to-end data architectures across complex organisations. Strong Azure data platform experience, including ...

architectural solutions. Provide strategic oversight of data architecture, ensuring consistency across initiatives. Drive best practice in areas including: Data architecture Entity resolution Master Data Management (MDM) Data governance Data quality Metadata management Produce high-quality architecture artefacts, standards and design documentation. Provide architectural assurance and governance … architectures. Strong background in enterprise data modelling and architecture frameworks. Experience defining data architecture principles, standards and governance models. Demonstrable experience with: Master Data Management (MDM) Data Governance Entity Resolution Data Integration Data Quality Excellent stakeholder management skills with the ability to communicate effectively at senior leadership level. ...

parties, including secure, scalable approaches using Databricks Delta Sharing, APIs, and file-based exchange where appropriate. Lead the design and adoption of Master Data Management (MDM), including entity definitions, golden-record strategy, match-and-merge rules, and stewardship processes. Establish standards and practices for optimizing Databricks performance and cost … cluster and compute strategy, Delta table management, caching, and workload right-sizing. Define data modelling standards (conceptual, logical, physical) across analytical and operational domains. Collaborate with data governance to embed data quality, lineage, cataloguing, classification, and access-control policies into platform design. Ensure architectures meet security, privacy, and regulatory ...

Licensing & Operational Control Partner 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. … Knowledge Enablement Build 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 ...

cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration ...

Business Intelligence group is a center of excellence at the Firm for data analytics, data management and data governance, with a focus on enhancing data and analytics literacy, reliability and accessibility, and developing an umbrella strategy for data and information governance throughout the Firm. The group is responsible … service delivery, led by Chief Innovation Officer Isabel Parker. The team integrates expertise in technology, data science, research, market intelligence, process excellence, and change management to build practice-relevant solutions. Within Practice Solutions sits the Practice Technology Transactions sub-function, which drives technology-enabled transformation across transactional practice areas ...

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles … data catalogues, and lineage tooling Design and maintain semantic models to support agentic-AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products Guide and control the creation ...

engagements are predominantly with organisations facing important transitions. Engagements are typically driven by business unit leaders, CDOs, COOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. … data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business ...

teams, and 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 reportingPersonalBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include ...

About Northern TrustAs a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That … business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide and control the creation of data ...

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 standards … technical operations and 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 skillsHands-on practical experience ...

Engineer, Lead Data Engineer, or Senior Data Engineer within large-scale enterprise environments. Experience delivering complex cloud transformation and data modernisation programmes. Strong stakeholder management and communication skills. Ability to influence technical direction while remaining hands-on with delivery. Experience working across Architecture, Engineering, Product, and Business teams. Data … Experience working within regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Working alongside Data Product Owners and Data Architects. Data governance and metadata management frameworks. CI/CD, Infrastructure as Code (IaC), and DevOps practices within data environments. Skills & Attributes Excellent consultative and stakeholder management ...

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 ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisations strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

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 ...

modern streaming and event-driven capabilities Driving platform reliability, security and performance improvements Establishing governance frameworks across data and integration environments Supporting automation, release management and engineering excellence initiatives Working with stakeholders to understand strategic data requirements Contributing to technology roadmaps and platform modernisation programmes Supporting the adoption … Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture and solution design capability Experience leading complex ...

services group in the HE sector, and we are growing our team’s capability in AI, experience/UX, agile development, security, cloud, service management and partnering. We are modernising our technology foundations, digitising the processes of the university to transform experience for students and staff, and partnering across … track record of designing and governing large-scale data and integration solutions across analytics and operational systems.Deep understanding of data governance, including data quality, metadata management, stewardship, and architectural assurance.Experience designing API‐led and event driven integration architectures.Practical experience architecting AI‐enabled data solutions, with an understanding ...

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 : Integrate 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 ...

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+ ...