1 to 25 of 45 Metadata Management Jobs in London

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 ❯

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 ❯

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 ❯

Drive the development of data definitions, lineage, and governance for priority use cases Monitor business data requirements and coordinate changes through effective data release management Participate in data governance forums to improve the enterprise-wide data strategy Collaborate with business, compliance, and technology teams to ensure alignment on data … Help foster a transparent and innovative data culture across the organisation About You Essential Skills & Experience: In-depth expertise in data governance, data quality, metadata management , and profiling Solid understanding of BCBS239 in a Tier 1/Tier 2 banking context Proven ability to communicate effectively at senior … and board levels Strong grasp of risk and finance data structures, models, and reporting requirements Experience with enterprise data management and regulatory compliance Excellent stakeholder management and influencing skills Analytical mindset with a focus on delivering sustainable solutions Proficiency in Excel, PowerPoint, Visio ; familiarity with Collibra or similar More ❯

Drive the development of data definitions, lineage, and governance for priority use cases Monitor business data requirements and coordinate changes through effective data release management Participate in data governance forums to improve the enterprise-wide data strategy Collaborate with business, compliance, and technology teams to ensure alignment on data … Help foster a transparent and innovative data culture across the organisation About You Essential Skills & Experience: In-depth expertise in data governance, data quality, metadata management , and profiling Solid understanding of BCBS239 in a Tier 1/Tier 2 banking context Proven ability to communicate effectively at senior … and board levels Strong grasp of risk and finance data structures, models, and reporting requirements Experience with enterprise data management and regulatory compliance Excellent stakeholder management and influencing skills Analytical mindset with a focus on delivering sustainable solutions Proficiency in Excel, PowerPoint, Visio ; familiarity with Collibra or similar 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 ❯

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 ❯

. We are currently building out a next generation data platform to provide seamless access to the BBC's large archive of programme information, metadata, subtitles, transcripts, production data and restrictions. Up until now, this metadata has been stored in a large number of separate, siloed systems, tightly … transform our platform and operations. Main Responsibilities Together with Lead Data Manager, you will: • Design Archives core data model to support search and discovery, metadata management and data driven decision making • Design efficient data processes and work with architects, engineers and analysts to implement them • Implement best practices … in data governance and management across the Archives • Set the foundations for further development of Archive data ecosystem and implementation of new data technologies such as machine learning and artificial intelligence. • Define strategy for monitoring and improving data quality Are you the right candidate The right candidate will have More ❯

the integrity, security, and ethical use of sensitive criminal justice information, adhering to stringent compliance standards and fostering public trust. Drive innovation in data management and analytics, leveraging cutting-edge technologies to enhance the department's ability to respond to evolving crime trends and emerging threats. Empower the department … and quality standards by defining and implementing policies and procedures to ensure data accuracy, consistency, and completeness. It also includes establishing data lineage and metadata management processes. Participate in the development of data strategies and initiatives, identifying opportunities to leverage new technologies, and driving innovation in data management … data integration platforms (Kafka, Airflow, etc.). Familiarity with cloud-based data services, including storage, compute, and analytics (AWS, Azure). Knowledge of database management systems (relational and NoSQL) and data warehousing concepts and technologies. Understanding of data security principles and compliance requirements, particularly related to sensitive data. Ability More ❯

stakeholders within a business domain to understand and identify key data concepts, their relationships, and information needs. Develop comprehensive conceptual and logical models and metadata solutions using UML and MagicDraw. Document how models are applied using Specification-By-Example for various use-cases. Design and maintain the blueprint of … plus. Deep understanding of information and data architecture, with enterprise-level problem-solving solutions. Modeling expertise using MagicDraw (preferred), Erwin, or Enterprise Architect, including metadata management tools and code forward-engineering from models. Financial industry knowledge in Capital Markets/Banking is advantageous. Knowledge of Data Management More ❯

patterns for Azure and AWS. Strong knowledge of data governance and data quality frameworks and tools Skilled in solution in relation to data cataloguing, metadata management, and data lineage tracking. Interpersonal Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work collaboratively in a More ❯

patterns for Azure and AWS. Strong knowledge of data governance and data quality frameworks and tools Skilled in solution in relation to data cataloguing, metadata management, and data lineage tracking. Interpersonal Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work collaboratively in a More ❯

this dynamic environment, you'll work alongside experts in data, insights, and cutting-edge AI to build an AI-ready ecosystem that automates data management, insight generation, and machine-to-machine interactions. This isn't just about advancing technology; it's about reshaping our operational DNA to drive innovation … architectures for data retrieval and generation. Develop APIs and microservices and dbt to integrate RAG capabilities with existing data sources (mainly user behaviour data, metadata and semantic layer, stored in Redshift, but also other sources e.g. HR systems, legal repositories, SharePoint, etc.). Manage and optimize LibreChat UI and … Openweb UI Pipelines for chatbot interactions. Data Engineering & Integration: Build efficient data pipelines to support LLM-based querying, semantic search, and metadata retrieval. Integrate structured (SQL-based) and unstructured (documents, reports) data sources for real-time and batch processing. Maintain and troubleshoot Airflow pipelines for embedding extraction and document More ❯

that drives positive impact to join our team. What you'll do The Data Led Sales team is a central function within the Product Management division. We build software tools to help the sales teams in the business units sell Viasat services more effectively. We work closely with front … and sustain revenue for the business units. We also partner with a wide range of other teams across the business (in particular with Product Management, Commercial, Data Engineering, Analytics, IT, Platforms & Networks) in order to get a deep understanding of our products and services, and then to build solutions … and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes from effectively working More ❯

. Job Introduction We are building a next-generation data platform to provide seamless access to the BBC's large archive of programme information, metadata, subtitles, transcripts, production data, and restrictions. This role offers an exciting opportunity to be part of transforming our platform and operations. Main Responsibilities Alongside … the Lead Data Manager, you will: Design the core data model supporting search, discovery, metadata management, and data-driven decision-making. Design efficient data processes and collaborate with architects, engineers, and analysts to implement them. Implement best practices in data governance and management across the Archives. Lay … our data platform and transformation efforts, working with a diverse team of analysts, architects, engineers, and product managers. Essential Good understanding of core data management principles. Entity-Relationship data modelling experience. Proficiency in SQL, including regular expressions. Experience working with complex data sets and formats. Experience with cloud environments 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 ❯

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 ❯

Contribute to the wider work of the data office in terms of strategy and the contribution of data architecture across the breadth of data management Migration to Cloud presents an opportunity to implement a new data architecture-one that is more data-centric and more interoperable. Supporting and enabling … modelling tools Data Standards: Developed data standards in support of data interoperability; written technical specifications; assured code/systems against standards; championed data standards Metadata Management: Designed/Developed data catalogues or metadata repositories; used tools like Apache Atlas/Hive Metastore/AWS Glue/AWS More ❯

empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions … around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models … data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management More ❯

and migration workflows Lead the technical setup of Informatica across core modules, including: Data Governance & Catalog Data Ingestion & Replication Data Integration Data Quality & Profiling Metadata Command Centre Support data policy development and data catalog management Collaborate with a high-level data team to shape data infrastructure from the … Proven hands-on experience with SAP, Informatica, and AWS - please only apply if you have recent experience here. Strong understanding of data governance and metadata management Experience building data integration and ingestion solutions in Informatica Familiarity with setting up full-stack Informatica environments Clear communication skills and the More ❯

and migration workflows Lead the technical setup of Informatica across core modules, including: Data Governance & Catalog Data Ingestion & Replication Data Integration Data Quality & Profiling Metadata Command Centre Support data policy development and data catalog management Collaborate with a high-level data team to shape data infrastructure from the … Proven hands-on experience with SAP, Informatica, and AWS - please only apply if you have recent experience here. Strong understanding of data governance and metadata management Experience building data integration and ingestion solutions in Informatica Familiarity with setting up full-stack Informatica environments Clear communication skills and the More ❯

of ETL/ELT, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloging. Understanding of serverless data processing, event-driven architectures, and modern data stacks. More ❯

of ETL/ELT, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloging. Understanding of serverless data processing, event-driven architectures, and modern data stacks. More ❯

implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. As part of the Data Management Lab (DML) department, we're responsible for supporting the development, enablement, and implementation of data management best practices that enable the delivery of … use" data. What's the role? As a Team Leader of the Semantic Modeling team, you will be pivotal in the development of our metadata products and processes at Bloomberg. Specifically, you will be guiding a team of ontologists in designing, implementing, and maintaining ontologies in order to drive … data interoperability and semantic enrichment. The day-to-day will vary, some days you may be advising engineers on the development of metadata infrastructure and platforms. On other days, you may be meeting with Data teams to conceptualize their domain and promote best practices. Your work will touch a More ❯