1 to 25 of 53 Permanent Metadata Management Jobs in London

Job summary Electronic Patient Records (EPR) represents a major IT project in Moorfield's excellence delivery programme. EPR will collate and consolidate the management of clinical records to support clinicians and colleagues across the trust in making more effective decisions, improving clinical outcomes and patient experience. Our vision is to create a digitally enabled organisation that supports the delivery … capabilities to meet the needs of the organisation and healthcare partners, as well as building on existing recruiting capabilities to address new needs or skill gaps Availability and capacity management Create and be responsible for data engineering policy and strategy for service and capacity management, and the implementation of required changesResponsibility for ensuring the data engineering standards and … and standards are adhered to. Partner with other enabling technology teams to ensure we provide a fit-for-purpose, performant data service to users that is continually improving. Financial management Understand how to balance cost versus valueConsider the impact of user needsBudget authority and report on the financial delivery of your services (pay and non-pay), and manage non More ❯

opportunity to lead from the front. Key Responsibilities Lead complex agile consulting projects focused on data architecture design and delivery Advise technology leaders on modern best practices in data management Develop cloud-based enterprise data platforms using AWS, Azure, or GCP Define services and frameworks that enable efficient, scalable, and secure data management Contribute to internal IP and … data strategies and governance Deep knowledge of contextual, logical, and physical data modelling Hands-on experience with cloud data migration and architecture (AWS, Azure, or GCP) Strong grasp of metadata management, data privacy/security frameworks, and cloud ecosystem best practices Financial services project experience preferred, with stakeholder-facing communication skills Comfortable operating across complex environments, leading multiple … patterns Familiarity with data cataloguing, classification, and semantic/graph modelling Exposure to ESG data, risk/compliance platforms, or financial crime data architectures An understanding of cloud cost management, automation, and network architecture Tech Domains Cloud Platforms: AWS, Azure, GCP Data Management: Metadata tools, privacy frameworks, security architecture Modelling: ER, Contextual, Semantic, Logical/Physical Orchestration More ❯

with modular, reusable, and efficient code in various languages. Development Lifecycle : Understanding of SDLC, CI/CD pipelines, and version control. Data Governance & Security : Knowledge of data security, governance, metadata management, and master data principles. Key Responsibilities: As a Senior Data Engineer, you'll bridge the gap between client needs and technical solutions, creating data pipelines that ingest … Tune data systems for performance, scalability, and monitoring. Data Security : Apply best practices for information security, including encryption and data anonymity for sensitive data assets. Data Governance & Quality : Manage metadata, data lineage, and data quality standards. If you're passionate about using data engineering and AI to solve complex problems in the Defence and Security sector, we'd love … acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas. More ❯

concepts Proven ability to translate business needs into technical requirements and dashboard designs. Familiarity with Agile/Scrum methodology, including sprint planning and backlog management. Excellent communication and stakeholder management skills. Experience with data governance operating models, data management subject areas (such as metadata management, data quality, record management, data privacy) and tools is a … strong plus. Understanding of project management principles, a proactive mindset, and keen attention to detail. What we can offer you This is a role that'll offer you the opportunity to build an in-depth knowledge of financial services operations. Every day there will be new business challenges that will help you develop new skills that can drive your … discover the true extent of your capabilities. Job Family Group: Data Governance Job Family: Data Governance Foundation Time Type: Full time Most Relevant Skills Constructive Debate, Data Governance, Data Management, Data Quality, Internal Controls, Management Reporting, Policy and Procedure, Program Management, Risk Controls and Monitors, Risk Management. Other Relevant Skills For complementary skills, please see above and More ❯

and permissible use. Maintain evidence of compliance for audit and legal purposes. Work with legal and data privacy teams to validate consent frameworks and data usage rights. Data Catalogue & Metadata Management Curate and manage the organisation's data catalogue for contributed datasets. Classify and tag data using standard taxonomies and business definitions. Promote data discoverability and reuse across … ability to source, assess, and steward data from complex application environments. Deep understanding of data privacy laws (e.g., GDPR, CCPA), data contracts, and data usage governance. Strong knowledge of metadata management, data cataloguing tools, and data quality practices. Working knowledge of data platforms (e.g., Snowflake, Databricks, Azure, or equivalent). Excellent relationship and stakeholder management skills - especially More ❯

Join our Corporate Investment Bank Information Architecture team as an Information Architect, specializing in Data Management and Governance. As a Senior Lead Architect at JPMorgan Chase within the Corporate Investment Bank Information Architecture team, you will have the opportunity to progress your career in Information Architecture. You will play a crucial role in delivering, maintaining, and promoting the adoption … Global Technology, and other Lines of Business to develop contemporary and innovative engineering methods. Job Responsibilities 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. Collaborate to create, maintain, govern, and use Controlled Vocabularies and Data Sourcing Contracts with Business Partners and … Data Sourcing registration and JPMC Business Data Taxonomy). Contribute towards the incremental delivery of the Data Strategy by incrementally moving applications towards strategic data sourcing and standardization of metadata and tooling. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Required qualifications, capabilities and skills Formal training or certification on More ❯

This is a junior to mid-level role, and the ideal candidate will possess experience in Data Management and Analysis, seeking the next developmental step in their career. Are you passionate about data and its potential to drive business success? Do you thrive on solving complex data challenges and optimizing data processes? We are seeking a talented Data Analyst … Management Consultant to join our team and help our clients unlock the full value of their data assets. As a Data Management Consultant, you will play a pivotal role in providing strategic guidance, implementing data management frameworks, and driving data-driven decision-making across organizations. Responsibilities: Collaborate with clients to understand their data management needs, challenges … and business objectives. Develop and implement data management strategies, policies, and procedures to ensure data integrity, quality, and security. Design and optimize data governance frameworks, including data standards, metadata management, data classification, and data lineage. Assess existing data management processes and systems, identify areas for improvement, and develop strategies for data process optimization. Lead data discovery More ❯

responsible for managing company-wide data governance activities. Head of DG is responsible fordeveloping and implementing data governance policies, monitoring adherence to data standards, and providing guidance on data management practices. This role involves ensuring data quality, consistency, and security across entire organization. Understanding the Business Value of Data Governance: Demonstrating how data governance enhances data quality and supports … Key Responsibilities: Strategic Leadership: Develop and execute a comprehensive data governance strategy that aligns with the organization's goals and regulatory requirements. Policy Development: Provide guidance on data lifecycle management, data contract, data privacy, and data security. Establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance. Data Quality Management: Oversee data … data privacy and protection regulations such as SOX and GDPR by implementing robust data governance frameworks. Data Communities: Lead the data stewardship program, assigning roles and responsibilities for data management across the organization. Training and Awareness: Develop and deliver training programs to educate employees on data governance policies, procedures, and best practices. Performance Monitoring: Implement metrics and reporting mechanisms More ❯

They offer a structured and professional environment, providing employees with opportunities to contribute to impactful projects in a collaborative setting. Job Description Deep expertise in data governance, data quality, metadata management, profiling, analysis, and related data management tools. Lead the implementation of data governance across Risk and Finance domains, ensuring alignment with BCBS239 regulatory standards. Accountable for … end-to-end ownership of data definition, lineage, and governance for prioritised use cases. Oversee business data requirement changes, ensuring effective execution of change and release management across data domains. Contribute to meeting regulatory obligations by establishing processes that ensure the delivery of accurate, complete, timely, and reliable data. Partner with divisional stakeholders to develop and implement data standards … data quality, data profiling, and analysis. In-depth working knowledge of BCBS239 gained through experience in Tier 1 and Tier 2 banking environments. Skilled in communicating effectively with senior management, including board-level stakeholders. Proficient in interpreting complex data structures and performing advanced calculations across Risk and Finance functions. Comprehensive understanding of the Risk and Finance data domains, along More ❯

integration of internal and external data sources (e.g., market prices, fundamentals, grid data, weather feeds) into centralized platforms. Deliver real-time, high-quality data to support trading decisions, risk management, and performance tracking. 2. Technical Leadership & Team Management Manage and mentor a team of data engineers, fostering technical excellence and continuous learning. Oversee code quality, architecture decisions, and … deployment practices across the team. Collaborate with the Global Head of Data to align engineering efforts with strategic priorities. Lifecycle Management : Overseeing data enrichment, update, and deletion processes, and ensuring documentation in enterprise catalogs 3. Business Collaboration Work closely with traders, quantitative analysts, and risk managers to understand data requirements and deliver fit-for-purpose solutions. Translate business needs … into technical specifications and ensure timely delivery of data products. 4. Data Quality & Governance Implement monitoring systems to ensure data accuracy, completeness, and timeliness. Support data governance initiatives, including metadata management, lineage tracking, and access controls. Ensure compliance with regulatory standards (e.g., REMIT, EMIR) and internal audit requirements. 5. Innovation & Continuous Improvement Evaluate and adopt new technologies (e.g. More ❯

Technologies' AI and Data Services revenue across a wide portfolio of enterprise customers and industries. This role requires strong technical expertise in AI and associated Data engineering and Data management disciplines, strong consultative selling skills, executive-level communications, and business development acumen. The candidate will jointly lead and influence customers from initial opportunity discovery through proposal development and deal … attainment, and closure. Partner with Sales Executives, Business Development Managers, Account Managers, and Service Delivery teams to jointly develop, qualify, and advance pipeline opportunities. Support sales forecasting, reporting, pipeline management, and quota achievement. Structure deals to meet customer needs while aligning Dell's services portfolio, delivery capabilities, and financial objectives. Entrepreneurial focus to drive innovation, efficiency, process/IP … and deliver compelling customer presentations, demos, proposals, and design sessions to both executive and technical audiences. Manage customer expectations across complex solution lifecycles with strong delegation, accountability, and stakeholder management skills. Technical Solution Leadership Architect Services end-to-end data and AI solutions across data pipelines, data lakes, data governance, AI model pipelines, and enterprise AI platforms. Apply knowledge More ❯

based in London (Liverpool St) About Our Client This organisation is a large entity operating within the financial services sector. Job Description Strong expertise in data governance, data quality, metadata management, data profiling, analysis, and data management tools. Lead the implementation of data governance practices within the Risk and Finance domains, aligning with BCBS239 regulatory standards. Owns … the end-to-end data definition, lineage, and governance responsibilities for prioritised use cases. Oversee changes to business data requirements, ensuring proper execution of change and release management activities within the data domains. Contributes to meeting regulatory requirements by helping establish processes that deliver accurate, complete, timely, and reliable data. Collaborates with divisional stakeholders to develop and implement data … Risk and Finance data landscape, including data governance frameworks and regulatory requirements across business and technology functions. Able to take an enterprise-wide view, avoiding siloed approaches to data management and governance. Analytical thinker with strong problem-solving skills and a proven ability to implement effective, practical solutions. Demonstrates strong stakeholder management skills, securing buy-in and collaboration More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯

with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to … strategies to non-technical stakeholders. Outstanding problem-solving abilities and organizational skills. Certifications (Preferred/Desirable): Azure Solutions Architect Expert Azure Data Engineer Associate Knowledge of Azure security & access management (Azure AD, Azure Policy) Experience with Azure DevOps and CI/CD practices More ❯

APIs, and machine learning models in coordination with DevOps teams. Define and embed best practices for data warehousing and Lakehouse architecture (e.g. Medallion). Standardise data development, modelling, and metadata management across the enterprise. Implement lineage tracking and orchestration tools to improve transparency and governance. Conduct code reviews, testing, and documentation to ensure quality and robustness of analytics … outputs. Take ownership of incident resolution and lead root cause analysis to ensure sustainable remediation. Enforce best practices for change control, release management, rollback planning, and deployment testing. Maintain high levels of internal client satisfaction by ensuring deliverables meet service level expectations. Ensure audit readiness through documentation, access control, and data lineage practices in line with regulatory standards. Manage … and technology partners providing analytics tools or support services. Undertake additional responsibilities as required to support the broader data strategy. Skills, Knowledge & Abilities Essential: Strong understanding of enterprise data management and governance principles. Proven experience delivering Business Intelligence (BI) solutions and dashboards to enable data-driven decisions. Experience designing relational and dimensional data models (e.g. star schema, snowflake, etc. More ❯

cycle, supports them in becoming truly data-driven, and in turn solves complex industry challenges faced across a variety of sectors. Here, you will become a specialist in data management, with projects spanning data governance, data ethics, data quality and data architecture, through managing and delivering work streams that expose the true value of clients' data. Additionally, you'll … are keen to strengthen their team and hear from you. Get a head start on the competition, and apply here today. What You Need: Solid professional grounding in data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with clients Company: Graduate Recruitment Bureau (Hiring for client) Location: London, UK Salary Notes: £55-70K Course Notes: Any considered with a preference for STEM subjects Jobs related More ❯

skills. Preferred Qualifications: Cloud certification (Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). More ❯

/Role Overview We are seeking a motivated and detail-oriented Data Governance Senior Analyst to join the Services Data Governance team. This role will directly support the product management and enhancement of our business data governance platform, ensuring alignment with the enterprise data governance policies, tools, and architecture. As part of Services Data Governance team, you will work … closely with both central Enterprise Data Office teams and internal stakeholders to drive effective governance of our data assets. You will contribute to the design, enhancement, and management of our data governance tooling to meet compliance requirements and business needs. What you'll do Support the Data Governance Product Manager in identifying gaps and opportunities between enterprise and business … platform, tools, and processes. Facilitate effective coordination with Enterprise Data Office, IT teams, and other business stakeholders to ensure smooth integration and alignment. Support stakeholder engagement, training, and change management activities related to data governance practices. Collaborate in an agile environment to deliver tooling enhancements and governance capabilities iteratively. What we'll need from you Proven experience working in More ❯

data from SAP (e.g., S/4HANA, BW/4HANA) and non-SAP sources (e.g., cloud platforms, APIs, third-party systems). Establish and enforce data governance policies including metadata management, data lineage tracking, and access control to ensure data integrity and compliance. Optimize data pipelines and transformation logic using SAP Datasphere's capabilities to support real-time … validation of products and services under Reporting and Analytics tower, including documentation/knowledge from external teams that will touch those services and products. Support product managers on lifecycle management for products and services considering business priorities, budget, current versions and risks. Responsible for the delivery of an Agile/DevSecOps Mindset across their portfolio including transformational initiatives. Your … Profile Essential Skills/Knowledge/Experience (Up to 10, Avoid repetition): 10+ years of experience in the SAP/Data Management ecosystem, with at least 3 years in SAP Datasphere. Strong understanding of cloud data architecture and analytics best practices. Proficiency in SAP Data Services, SAP HANA, SAP BW, Datasphere, and SAP Analytics Cloud. Experience in SAP Cloud More ❯

as needed. What We're Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories More ❯

data integration initiatives, orchestrating data ingestion from SAP (e.g., S/4HANA, BWS/4HANA) and non-SAP sources (e.g., cloud platforms, APIs). Establish data governance policies including metadata management, data lineage, and access control to ensure data integrity and compliance. Optimize data pipelines and transformation logic to support real-time and batch processing. Collaborate with business … product and service design integrity. Support operations in resolving complex issues. Gather and validate process and technical knowledge for products/services, including documentation. Assist product managers with lifecycle management considering business priorities, budgets, and risks. Promote an Agile/DevSecOps mindset across the portfolio, including transformational initiatives. Key Skills & Experience: 10+ years in SAP/Data Management … cloud platform and DSP frameworks. Skills in ETL, data modelling, and data validation. Programming knowledge: Python, SQL, or Java. Hands-on attitude and leadership skills. Excellent communication and stakeholder management skills, especially in English. Strong analytical and problem-solving skills. Ability to adapt in a flexible, changing environment, managing multiple priorities effectively. This is an excellent opportunity for your More ❯

monitoring, and documentation. Exposure to Data Modelling and Warehousing would beneficial as you will need to build data models or migrate existing ones. Drive best practices in data governance , metadata management , and data security . Contribute to the continuous improvement of our data platform and tooling. Required Skills & Experience 35 + years of experience as a Data Analyst More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

that support business goals, including data warehousing, data lakes, and real-time data processing. Lead the evaluation, selection, and integration of new data technologies and tools to optimise data management processes. Support the development of data products, through robust architecture, data governance policies, ensuring data quality, integrity, security, and compliance with relevant regulations (GDPR). Lead a team to … development of data migration strategies to consolidate and centralise data from various sources into a single Platform for MRSG. Drive the adoption of best practices in data architecture, data management, and data lifecycle management. Provide leadership, mentorship, and guidance to the Data Office, Architects and Data Governance. Collaborate with cross-functional teams to develop data-driven insights, dashboards, and … etc. Conceptual and Logical design of the Data & Analytics Platform; together with experience of data repository consolidation and end user computing Supporting Data Governance colleagues in areas such as metadata management, data lineage, data audits and general data quality improvement Experience of implementing Master Data Management approaches and tooling Selection of external systems/services with a More ❯