1 to 25 of 64 Metadata Management Jobs in England

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF More ❯

data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data … pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics … design, development, and maintenance of data pipelines, integrations, and ETL processes to ensure efficient data flow and accessibility for analytics use cases. Collaboration & Stakeholder Management: Act as the key connection between AOE D&A and PNE, facilitating knowledge-sharing, alignment, and implementation of strategic data initiatives, including the DDF 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 ❯

Architecture team to provide support in delivering, maintaining and generating adoption of standards, components, processes and tools that serve the wider function of Data Management; through engineering and architecture collaboration with other teams across Corporate Investment Bank Technology primarily but also working with partnerships with Global Technology and other … role will very much suit those with a Software Engineering, Technical Architecture or Data Analytics background that wish to specialize in Information Architecture, Data Management and Governance and an interest in developing standards, tools and processes for other development teams that progress this through developing modern and innovative engineering … methods. Information Architecture and Data Management continues to be a critical element to delivering on our business objectives and it's something that is required in order to support the reduction of costs, lowering risk, increasing performance and enabling the transparency of business performance and client satisfaction. There are More ❯

Vacancy for Project Archivist, Metadata Support at University of Oxford Location: Weston Library, Oxford Type: Fixed Term This pivotal role will support metadata creation and management activities associated with cataloguing and digitisation of archives and manuscripts being undertaken at the Bodleian Libraries. You will be critical to … ensuring that metadata generated meets the Bodleian Libraries' metadata guidelines, optimising its potential for supporting discovery, use and management of collections. You will achieve this through training and supporting colleagues working on cataloguing collection materials, leading on quality assurance of relevant metadata, and taking responsibility for … publication and updating of relevant metadata in internal systems and in our public-facing catalogue, Bodleian Archives & Manuscripts. Qualifications: You will be educated to degree level or have equivalent experience. Your communication skills will be strong, and you will be adept at communicating complex ideas in simple language. You More ❯

Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging … and advocate best practices within a Centre of Excellence. Skills, knowledge and expertise: Deep expertise in the Databricks platform, including Jobs and Workflows, Cluster Management, Catalog Design and Maintenance, Apps, Hive Metastore Management, Network Management, Delta Sharing, Dashboards, and Alerts. Proven experience working with big data technologies … Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming 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 ❯

technology and intelligence. Visit us at: As a DAM/MRM Architect Manager, you will: Lead the design, implementation, and optimization of Digital Asset Management (DAM) and Marketing Resource Management (MRM) solutions for enterprise clients. You will work closely with marketing, creative, and IT teams to develop scalable … workflow efficiencies, and enable seamless omnichannel content delivery. Responsibilities Include: Strategy & Solution Design: Define enterprise DAM/MRM strategies to enable content governance, versioning, metadata management, and workflow automation. Assess existing content ecosystems and recommend best-fit platforms based on business needs. Architect scalable and future-proof solutions … Adobe Experience Manager (AEM Assets), Aprimo, Bynder, Sitecore Content Hub, or OpenText Media Manager. Ensure DAM/MRM systems support AI-driven content tagging, metadata enrichment, and automation. Optimise system performance, taxonomy, metadata structures, and governance models for seamless content operations. Cross-functional Collaboration & Delivery: Work with IT More ❯

both public and private sectors. They're currently growing their Data Strategy team and are looking for an experienced consultant specialising in Enterprise Data Management to support the design, leadership, and implementation of large-scale data strategy initiatives. This opportunity is ideal for professionals with a deep understanding of … data governance, data quality, metadata management, and AI integration who are ready to play a hands-on, strategic role within complex client environments. The Organisation Our client is a household name in the consulting world renowned for their end-to-end digital transformation capability. They work with global … focus on enabling intelligent, secure, and ethical use of data across complex organisations. Key Responsibilities: Provide strategic guidance on data governance frameworks, master data management (MDM), metadata strategy, and data ethics policy development. Lead client engagements across data architecture, data quality, taxonomy, and standards implementation often acting as 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 ❯

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 … 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 to build credibility with clients 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 ❯

You will need to login before you can apply for a job. Sr Manager, DX Product Experience Management Sector: Manufacturing Role: Manager Contract Type: Permanent Hours: Full Time Job Description: We are looking for an experienced and forward-thinking Senior Manager, Product Experiences Management to lead the strategy … Digital Technologies Organization, this role plays a pivotal part in modernizing how our brands connect with consumers by enabling intelligent, scalable, and automated content management practices. The ideal candidate will blend deep Salsify platform knowledge, stakeholder collaboration, agile execution, and a passion for AI-powered innovation to future-proof … across cultures, geographies, and functions. What will be your key responsibilities? Leadership & Strategy Define and own the global strategy and roadmap for Product Experience Management, aligning with enterprise digital, data, and GenAI ambitions. Drive platform scalability and innovation to support omnichannel CPG product storytelling-from to DTC and emerging 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 ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration More ❯