51 to 75 of 134 Metadata Management Jobs in London

lakehouses, data 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 engineering, analytics … select technologies 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 and non-technical ...

Alpha Data Implementation organization is seeking individuals with subject matter expertise spanning a wide array of financial instrument types and working knowledge of Asset Management Data Domains to join our team as an Implementation Business Analyst.Why is this role importantImplementation Business Analysts are at the heart of continued growth … mapping as part of initial client implementations.Define and maintain standards around data ingestion, enrichment and validation of client portfolio data into our Enterprise Data Management solution.Perform in-depth analysis of the functional capabilities inherent to our existing and emerging data platform.Document product specifications and prepare business cases to drive ...

permissioned against data, the capability is useless, or worse, unsafe. Your job is to close that gap. 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. … core components of its investment and research processes. 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 or similar ...

into executable roadmaps, technical requirements, and delivery plans for data, analytics, machine learning, and AI solutions **Drive alignment across Product, Engineering, Data Science, Data Management, Architecture, Governance, and Operations teams **Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment … data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical … modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.Excellent communication and stakeholder management skills, with the ability to influence both ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency. Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles. Act as a trusted advisor to clients, translating … modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate. Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption. Excellent communication and stakeholder management skills, with the ability ...

based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience with Data Governance, Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation ...

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 ManagementExperience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder EngagementAbility ...

required.Governance, Security and Data ManagementExperience designing within structured architectural governance frameworks.Familiarity with government assurance processes and design authorities.Strong understanding of data governance frameworks and metadata management.Experience designing for GDPR and UK public sector data protection requirements.Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.Stakeholder EngagementAbility to influence ...

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. ...

Data Engineer, Lead Data Engineer, or Senior Data Engineer within large enterprise environments. Experience delivering complex data transformation and cloud modernisation programmes. Strong stakeholder management and communication skills. Ability to influence technical direction while remaining actively involved in hands-on delivery. Experience working across cross-functional teams including Architecture … regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Experience working alongside Data Product Owners and Data Architects. Exposure to data governance and metadata management frameworks. CI/CD, Infrastructure as Code, and DevOps practices within data platforms. Skills & Attributes Strong hands-on engineering capability. Consultative approach ...

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 ...

leading Digital Transformation Organisation. This is a high-impact role for someone who can operate comfortably across technical delivery, Agile leadership, data management and senior stakeholder engagement, bringing together business teams, technology functions, vendors and implementation partners to make sure complex tooling programmes land successfully. What … across the full delivery lifecycle, from planning and mobilisation through implementation, testing, go-live and transition into BAU. Focus: Alation | Profisee | Data Governance | MDM | Metadata | Agile Delivery Your responsibilities will include: Owning delivery plans, roadmaps, milestones, dependencies, resources and release schedules for Alation and Profisee. Leading Agile delivery teams ...

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 ...

layer design to support enterprise reporting Support integration of data from multiple SaaS and third-party systems Ensure best practices across data quality, governance, metadata, and performance optimisation Maintain documentation including data models, data dictionaries, and architecture diagrams Assist with CI/CD pipelines and deployment processes (Azure DevOps … pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding and supporting developers without formal leadership responsibility Exposure to metadata management, data governance, and data quality frameworks Experience with CI/CD (Azure DevOps, Gi t) and ideally scripting (Python/PySpark ...

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 ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government ...

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 ...

products are usable, trusted and aligned with front-office workflows.• Partner with stakeholders to shape differentiated internal and client-facing data insights where appropriate.Stakeholder Management and Product Leadership• Engage senior business stakeholders across Trading, Distribution, Structuring, Risk, Quants and Technology to understand data needs, business value and adoption barriers. … Modelling, Governance and Controls• Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements.• Provide product-owner challenge to ensure data models are fit for business purpose, support cross-asset analytics, and can scale ...

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 ...

native data 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 to evaluate … communicate 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 engineers while ...