1 to 25 of 48 Permanent Metadata Management Jobs in London

team. Job Description: We are seeking a highly skilled and experienced Principal Sales Consultant where your expertise will shape our FTSE 250 clients’ Data Management programmes. You will demonstrate your experience in supporting them through business case development through to strategy execution using your expertise. The ideal candidate will … have a strong background in data management, governance frameworks, and regulatory compliance. This role requires a strategic thinker with excellent communication skills and the ability to drive differentiated data governance approaches across our clients. Key Responsibilities: Engage with new clients to understand their Data Management requirements Develop, advise … and propose strategic Data Management Services for new and existing clients Ensure clients’ data management programmes align with their business objectives Guide clients on a practical journey of delivering their strategic Data programmes Support clients’ in developing business cases to justify the required investments in Data Governance/ More ❯

team. Job Description: We are seeking a highly skilled and experienced Principal Sales Consultant where your expertise will shape our FTSE 250 clients’ Data Management programmes. You will demonstrate your experience in supporting them through business case development through to strategy execution using your expertise. The ideal candidate will … have a strong background in data management, governance frameworks, and regulatory compliance. This role requires a strategic thinker with excellent communication skills and the ability to drive differentiated data governance approaches across our clients. Key Responsibilities: Engage with new clients to understand their Data Management requirements Develop, advise … and propose strategic Data Management Services for new and existing clients Ensure clients’ data management programmes align with their business objectives Guide clients on a practical journey of delivering their strategic Data programmes Support clients’ in developing business cases to justify the required investments in Data Governance/ More ❯

team. Job Description: We are seeking a highly skilled and experienced Principal Sales Consultant where your expertise will shape our FTSE 250 clients’ Data Management programmes. You will demonstrate your experience in supporting them through business case development through to strategy execution using your expertise. The ideal candidate will … have a strong background in data management, governance frameworks, and regulatory compliance. This role requires a strategic thinker with excellent communication skills and the ability to drive differentiated data governance approaches across our clients. Key Responsibilities: Engage with new clients to understand their Data Management requirements Develop, advise … and propose strategic Data Management Services for new and existing clients Ensure clients’ data management programmes align with their business objectives Guide clients on a practical journey of delivering their strategic Data programmes Support clients’ in developing business cases to justify the required investments in Data Governance/ More ❯

role requires strong communication skills to collaborate effectively with both technical and non-technical stakeholders. You will be responsible for data governance, data modelling, metadata management, and ensuring compliance with data standards. Key Responsibilities: 1. Data Architecture & Engineering Design and implement scalable data architectures that align with business … Governance & Compliance Ensure adherence to data governance policies and regulatory requirements. Monitor and maintain compliance with data standards and security measures. Develop and manage metadata repositories for accurate data tracking and integration. Support data assurance processes and provide recommendations for compliance improvements. 3. Data Analysis & Communication Conduct data profiling … Collaborate across multidisciplinary teams and advocate for data best practices. 4. Problem-Solving & Innovation Identify and address data-related issues using analytical and problem-management techniques. Explore innovative tools and methodologies for improving data processes. Support strategic planning by aligning data solutions with business goals. Analyze and mitigate the More ❯

with other data sets, enabling reuse. You can work with other data professionals to improve modelling and integration patterns and standards. (Skill level: Practitioner) Metadata Management: You can design an appropriate metadata repository and suggest changes to improve current metadata repositories. You can understand a range … of tools for storing and working with metadata, advising others about metadata management. (Skill level: Practitioner) Problem Management: You can initiate and monitor actions to investigate patterns and trends to resolve patterns, effectively consulting specialists as required. You can determine the appropriate resolution and assist with its More ❯

Data Engineer (with Data Modelling expertise) with robust data modelling experience who has worked within high performance development teams at Asset/Wealth Financial Management organisations. You will be defining and developing target financial index data conceptual and logical data models collaborating with tech, business and strategy teams. You … in Agile delivery methods. What you'll need to succeed You have extensive hands on expertise as a Data Engineer within Wealth/Asset management organisations delivering strategic data solutions in financial/reference data (e.g. equities, fixed income, debt instruments etc.) Very experienced with data modelling, creating logical …/conceptional data models with a good understanding of data model interaction with metamodels/metadata for data platforms. Expertise with programming in Python. Vast experience working with AWS solutions e.g. Glue and s3. Solid grasp of data governance/data management concepts, including metadata management More ❯

architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You … will play a key role in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect … level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery More ❯

and government patent offices in developing, protecting, and investing in their intellectual property. The successful candidate will report to the Senior Director of Product Management, Innography, and lead a dedicated technology squad to create maximum value for clients. We seek candidates with experience in content management, data acquisition … and metadata enhancement for analytical platforms. About You: Bachelor's or Master's degree in data science, library/information science, engineering, computer science, business, analytics, or law 7+ years in product management with increasing accountability and impact 5+ years working on content acquisition, curation, or enhancement for … data-driven products within B2B SaaS solutions involving databases or content repositories Experience with data quality frameworks, metadata management, and content integration Preferred Skills: Experience with Intellectual Property (IP) data, patents, trademarks, or legal content Development or support of software for legal or IP professionals Knowledge of patent More ❯

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 … 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 … 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 ❯

more predictive and powerful ways. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience … data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is … designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and workbenches. More ❯

more predictive and powerful ways. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience … data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is … designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and workbenches. More ❯

firms, and government patent offices in developing, protecting, and investing in their intellectual property. The successful candidate will report into the Senior Director Product Management, Innography, and lead a dedicated technology squad to create maximum value for Innography clients. We would love to speak with you if you have … experience in content management, data acquisition, and enhancing metadata for analytical platforms. About You : Bachelor's or Master's degree in data science, library/information science, engineering, computer science, business, analytics, or law 7+ years in product management with increasing levels of accountability and impact 5+ … on content acquisition, curation, or enhancement for data-driven products within B2B SaaS solutions involving databases or content repositories Experience with data quality frameworks, metadata management, and content integration Experience in setting and executing content strategy for analytical or similar platforms It would be great if you also More ❯

Maintain comprehensive documentation of governance frameworks, data definitions, and quality standards. Required skills/experience: Significant experience in data governance, data quality, or data management roles (ideally within professional services preferably within the insurance sector but this is not essential) Strong knowledge of data governance frameworks, best practices, and … data quality management principles, Experience with data management tools (e.g., Collibra, Informatica, Alation, or similar platforms). Proven ability to lead cross-functional teams, manage projects, and drive consensus across diverse stakeholders Knowledge of data privacy regulations and compliance frameworks (GDPR, CCPA, etc.). Experience in data profiling … cleansing, and metadata management is a plus. Familiarity with data architectures and data integration platforms More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical More ❯

quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical More ❯

products, balancing long-term vision with short-term execution. Prioritize features based on business impact, user feedback, and engineering considerations. Collaborate with investment, asset management, and other business teams to capture requirements and translate them into actionable product features. Communicate progress, gather feedback, and manage expectations effectively. Work closely … relevant field (e.g., Business, Computer Science, Engineering, Finance). Overall, 10 + years of experience with at least 5 years of experience in Product Management or a related role within data-driven organizations. Technical Skills Proficient in SQL for data extraction, transformation, and analysis. Familiarity with AWS for building … maintaining data lakes, data warehouses, and ETL/ELT pipelines. Experience with Agile methodologies (Scrum or Kanban) and tools such as JIRA for backlog management and sprint planning. Comfortable interpreting data models and collaborating with technical teams on architectural choices. Understanding of private equity, private credit, and real estate More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data Cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data Cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred More ❯

Microsoft365 environments LeadingSharePoint migration projects, including: Planning and executing the move from on-premises servers to SharePoint Online with minimal disruption Preserving and managing metadata and tagging structures for compliance and content discoverability Migrating and implementing term stores, content types, and managed metadata fields Collaborating with stakeholders to … define metadata requirements and optimise the user experience Using migration tools such as ShareGate, Metalogix, or AvePoint for analysis, mapping, and data transfer Conducting post-migration checks to ensure metadata integrity and search functionality Working with external IT suppliers to ensure high-quality support and services Maintaining security … problems, enjoys working with people, and has a real appetite for continuous learning and personal growth. Ideal candidates will bring: 3+ years of IT management experience Strong experience with SharePoint Online, SharePoint Server (2013/2016/2019), and Microsoft 365 A proven track record of successful SharePoint migrations More ❯

Design: Lead the design of scalable, secure, and high-performance Snowflake data warehouse solutions Define and implement data architecture best practices, including data modeling, metadata management, and data lineage Collaborate with enterprise architects, BI teams, and data scientists to deliver integrated data solutions Development & Integration: Design and develop … BI, Tableau) and scripting languages (e.g., Python). Knowledge of the likes of SQL, R, Juypter notebooks and Streamlit Understanding of data governance and metadata standards Other information: This role is hybrid, with 3 days a week in our Fleet Street office in central London More ❯

Under the leadership of the CFO and the finance department heads, the team is responsible for equity raising and investor relations; treasury and liquidity management; prudential risk and regulatory reporting; financial reporting and accounting, financial planning, and tax management activities. Role Description We are looking for a Finance … NetSuite or other Oracle applications. Principal Accountabilities • Ownership of the technology related configuration and administration within finance system applications, including user access provision, change management, chat of account/metadata management etc. • Enhance and maintain financial reports/dashboards from NetSuite and other finance applications, supporting the More ❯