26 to 50 of 99 Metadata Management Jobs in London

protected and compliant with regulatory requirements. Working across business and technology functions, you will define the standards, policies and controls that underpin effective data management while supporting the organisation's growing use of analytics, automation and AI. You will act as the central point of expertise for data governance … will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data ...

solutions. Your role Define enterprise and solution-level data architectures. Design conceptual, logical and physical data models. Develop data strategies, gvernance frameworks and information management approaches. Design secure and scalable data integration patterns across complex technology landscapes. Produce architecture artefacts aligned to enterprise architecture frameworks and business strategies. Support … Secure Government Data Architecture Practice. About you – Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. 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 … 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 skills Hands ...

over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Senior Data Modeller BU/Segment: Analytics/Data Management/Insurance Location: London, United Kingdom (Hybrid working) Employment Type: Permanent As a Senior Data Modeller , you will play a key role in designing, developing … performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams. We are looking for someone who demonstrates leadership through innovation ...

client, a specialist technology and services business supporting financial services organisations, is seeking an EDM (Enterprise Data Management) Consultant to join its permanent, client-facing delivery function. This UK/EU remote role involves no travel and focuses on helping organisations reconcile, control and trust critical data across complex … operating environments. Working with stakeholders across Operations, Finance and Product Control, Data, Technology and Change, you will design and embed practical enterprise data management capabilities that improve governance, data quality, metadata, lineage and stewardship. Key Responsibilities: Lead discovery and requirements workshops with business and technology stakeholders to understand ...

team is over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Data Modeller BU/Segment: Analytics/Data Management/Retail Location: Yorkshire , United Kingdom (Hybrid working) Employment Type: Permanent As a Data Modeller , you will play a key role in designing, developing … performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams. We are looking for someone who demonstrates leadership through innovation ...

Contract arrangement: This role is available on an Inside IR35 basis only. 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. The firm specializes in quantitative … worse, unsafe. Your job is to close that gap. 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 ...

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 ...

virtualisation and distributed data architectures. Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind. Embed data governance, data quality, metadata management and security principles into solution designs. Work with both structured and unstructured data across a range of technologies and platforms. Collaborate with … based on scalability, performance, security, interoperability and business requirements. Experience documenting complex architectures clearly through diagrams, workflows and technical documentation. Strong communication and stakeholder management skills. Confidence engaging directly with senior client stakeholders, vendors and technology partners. The ability to explain complex technical concepts clearly to both technical ...

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 ...

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 ...

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 ...

data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access controls, cost governance, multi-environment deployment, data sharing, replication and disaster recovery. Define scalable batch, real-time, event-driven, API, orchestration … Establish standards for analytics engineering, dbt, the modern data stack, DataOps, testing, documentation, CI/CD, Infrastructure as Code, observability and automated deployment. Embed metadata, lineage, privacy, security, regulatory compliance, monitoring and data quality controls into platform and data product designs. Lead technical workstreams, mentor engineers, prepare estimates ...

integrating: SCADA platforms Distributed Control Systems (DCS) PLC and RTU environments Historian platforms (OSI PI, Canary, etc.) IoT and edge computing platforms Enterprise Asset Management solutions (SAP PM, S/4HANA, IBM Maximo, IFS) Data platforms including Azure, AWS, Databricks, and Microsoft Fabric Deliver AI-Powered Operational Use Cases … Lead the design and implementation of solutions for: Predictive maintenance Asset performance management Anomaly detection Failure prediction Root cause analysis Energy optimization Production optimization Digital worker capabilities Intelligent alarm management Autonomous operations Establish frameworks for: Data governance Data quality Asset hierarchies Metadata management Industrial data models ...

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. ...

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 ...

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 optimising Databricks performance and cost … Delta Sharing, secure APIs, event streaming, managed file transfer), including the security and contractual considerations involved.* Strong track record designing and implementing Master Data Management solutions, including tooling selection, data stewardship models, and reference data management.* Demonstrable expertise in Databricks performance and cost optimisation at scale.* Strong data modelling ...

client is a global investment management firm. About this role Your Team 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 for the firm … with business, product, engineering, and senior domain leaders to strengthen data accountability and drive enterprise adoption of governance practices. Lead adoption of data governance, metadata, lineage, data product standards, and lifecycle management practices across the Data Marketplace. Establish and oversee data quality controls, metrics, risk management ...

technical delivery with strong stakeholder engagement. You will work closely with other Analytics Engineers, Data Engineers and Analysts. It does not include line management or team leadership. Key Responsibilities Stakeholder Engagement and Requirements Work with stakeholders and delivery teams across GDS-aligned programmes and complex public sector domains … from complex source systems, combining multiple sources into conformed analytical models. Make sure data models work with other datasets to support reuse and scalability. Metadata, Quality and Standards Design and contribute to metadata repositories, and suggest improvements to existing metadata management. Use a range of tools ...

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 ...

Trading's enterprise data strategy and the capabilities required to provide trusted, governed and readily usable data. The role leads data product management, market data systems, core data engineering, plus data governance and quality. You will be accountable for turning data into a managed enterprise asset while enabling analytics … execute the enterprise data strategy, target architecture, operating model and multi-year roadmap in alignment with business and technology strategy.* Lead data product management, market data systems, core data engineering, and data governance and quality as an integrated enterprise capability.* Establish accountable ownership for critical data domains, datasets ...

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 ...

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. ...

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 ...

client is a global investment management firm. About this role Your team We are building a new organization within Aladdin Data: our Data Office, focused on enabling trusted, reusable and Artificial Intelligence (AI)-ready data across Technology & Operations. Our Data Office serves as the central team responsible for accelerating … also includes the following responsibilities: Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations. Support the onboarding, governance and lifecycle management of data products while enhancing their ...