51 to 75 of 116 Metadata Management Jobs in England

travel. At least 10 years of IT experience, practical solution planning and technical architecture design (SaaS, IAM). Deep knowledge of emerging technologies, data management governance, and technology road‐mapping. Experience with Microsoft Office 365, Dynamics 365, SAP SuccessFactors, Azure AD, Power BI, etc. Strong stakeholder engagement, conflict resolution … vendor management skills. Salary range: £90,000–£110,000 + benefits. Location: Central London (Hybrid). Enterprise Data Architect Own the data architecture strategy, develop dashboards, and orchestrate data pipelines supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture ...

travel. At least 10 years of IT experience, practical solution planning and technical architecture design (SaaS, IAM). Deep knowledge of emerging technologies, data management governance, and technology road‐mapping. Experience with Microsoft Office 365, Dynamics 365, SAP SuccessFactors, Azure AD, Power BI, etc. Strong stakeholder engagement, conflict resolution … vendor management skills. Salary range: £90,000–£110,000 + benefits. Location: Central London (Hybrid). Enterprise Data Architect Own the data architecture strategy, develop dashboards, and orchestrate data pipelines supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture ...

Palantir Gotham Strong experience building data pipelines, ETL processes, and automated workflows Experience ingesting, transforming, enriching, and integrating complex datasets Knowledge of data governance, metadata management, data quality, and lineage Experience working with batch, streaming, real‐time, and unstructured data Strong understanding of data modelling and Ontology design ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisations strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

Data Engineering Lead required by our client an international educational establishment to provide the technical engine for the Value Management Office automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems … Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisation’s strategic objectives. Role specific skills Full-Stack Analytics Engineering: Mastery ...

modern streaming and event-driven capabilities Driving platform reliability, security and performance improvements Establishing governance frameworks across data and integration environments Supporting automation, release management and engineering excellence initiatives Working with stakeholders to understand strategic data requirements Contributing to technology roadmaps and platform modernisation programmes Supporting the adoption … Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture and solution design capability Experience leading complex ...

Produced data strategy, governance, and architectural outputs to support progression into the next phase of delivery. Provided expert advice to senior stakeholders on data management, interoperability, and information governance. Skills & Experience Enterprise Data Architecture and Strategy Data Modelling (Conceptual, Logical, Physical) Data Governance, Metadata Management, and Information ...

stakeholders to enable self‐serve analytics and consumption. Good to Have Experience in banking or financial services data platforms. Familiarity with data governance, metadata management, and regulatory reporting. Personal Qualities High analytical skills. A high degree of initiative and flexibility. High customer orientation. High quality awareness. Excellent verbal ...

capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced analytics. AI: You have a deep expertise or experience ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

data sources. Key Responsibilities Lead discovery and analysis of the current-state data architecture. Develop conceptual, logical and physical data models. Document data lineage, metadata, source systems and integration patterns. Assess data quality and identify remediation opportunities. Identify system dependencies, interfaces and migration constraints. Support the establishment of data … architecture. Proven experience documenting Legacy data estates and complex system landscapes. Experience developing conceptual, logical and physical data models. Strong knowledge of data governance, metadata management and data lineage. Experience with data quality assessment, profiling and remediation planning. Understanding of migration architecture and enterprise data transformation. Knowledge ...

senior stakeholders to promote governance as a business-enabling capability. Support governance requirements across analytics, reporting, AI, and machine learning initiatives. Drive improvements in metadata management, data lineage, business glossaries, and data cataloguing. Ensure compliance with data protection, privacy, security, and regulatory obligations. Identify and manage risks relating … compliance, and operational processes. Work alongside architecture and engineering teams to embed governance within cloud-based data platforms. Provide governance input into Master Data Management (MDM) initiatives and strategic data programmes. Champion a strong data culture through awareness, engagement, and education activities. Required Experience Proven experience leading enterprise Data ...

customer experience. You will own the product vision, strategy, and roadmap for access and identity, leading the implementation of Zephr as our central access management platform and driving the roll‐out of single sign‐on (SSO) and SAML across our estate. Working closely with Engineering Leads, Data teams, Commercial … Access and Identity, aligning multiple initiatives behind a clear set of outcomes and success measures. Lead the implementation of Zephr as the central access management platform, defining the target model for how customers, accounts, and entitlements are structured and how access is granted, maintained, and reported. Drive the roll ...

solutions. Strong hands-on expertise with Microsoft Fabric, Azure Data Services and cloud-based data platforms. Advanced SQL and data modelling skills. Experience with metadata management and data integration approaches. Strong problem-solving ability with experience resolving complex technical challenges. Excellent stakeholder management and communication skills. What ...

forums, and technical approval processes. Produce, review, and defend architecture submissions, technical designs, and assurance responses. Provide authoritative guidance on architectural decisions, technical risk management, and solution direction. Strategic Platform Design Lead architectural design activities for highly complex and business-critical platform components. Define approaches for enterprise-scale data … including: Azure Data Factory Azure Data Lake Storage Gen2 Azure Databricks Azure Synapse Analytics Delta Lake Extensive experience implementing enterprise data governance solutions and metadata management frameworks. Strong knowledge of architecture governance, design assurance processes, and enterprise architecture controls. Extensive experience designing secure cloud platforms using: Zero Trust ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

ability to manage stakeholders, their expectations and explain complex problems or solutions in a manner suitable for the audience. Knowledge of data governance and metadata management. Knowledge of data security best practices and compliance requirements. Success Looks Like Safely implement controls to enable self‐service of Data for other ...

practices and accountability Partner with BI, data architecture, and technology teams to embed governance into analytics, platforms, and transformation initiatives Oversee data quality frameworks, metadata management, and reference data strategies to improve data consistency and usability Define and govern data domains, ownership models, and governance standards across … data governance frameworks Experience embedding governance into business as usual processes and influencing adoption across teams Expertise in data governance disciplines including data quality, metadata, data domains, and reference data management Hands on experience with governance tooling such as Collibra, Informatica, or Data360 Ability to work effectively ...

security, governance, RBAC, data sharing, performance optimization, and multi‐environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

high-profile MOD programme focused on modernising enterprise data catalogue capabilities. You'll be responsible for assessing, transforming and enabling the migration of metadata from legacy platforms into a modern data catalogue, ensuring critical defence data is discoverable, trusted and fit for future exploitation. This is an opportunity … complex national programme where your work will directly influence migration strategy, data governance and long-term platform capability. Responsibilities Assessing existing data catalogue content, metadata and governance artefacts Evaluating migration feasibility from legacy catalogue platforms Designing metadata mappings, transformation rules and migration approaches Building and optimising ETL/ ...

help shape data-driven decision making across the organisation. Key Skills Enterprise Data Architecture Data Mesh & Data Fabric Data Modelling & Data Integration Data Governance & Metadata Management Enterprise Data Platforms Cloud Platforms (Azure, AWS or Google Cloud) Analytics & AI Architecture Stakeholder Management For more information or to apply ...

publication. As those workflows become more automated and AI-enabled, we need infrastructure that is observable, measurable, resilient, and designed for continuous improvement. Data Management & Operations (DMO) is looking for a Technical Product Manager to help shape the next generation of data manufacturing infrastructure. This role will partner closely … product roadmap for infrastructure capabilities that support automation, observability, process analysis, semantic data readiness, and scalable production workflows. This is not a traditional project management role. You will apply product discipline to infrastructure: translating complex methodological, operational, and Engineering needs into a clear and articulate roadmap; helping teams make ...

services group in the HEsector,and we are growing our team’s capabilityinAI,experience/UX, agile development, security, cloud, service management and partnering. We are modernising our technology foundations, digitising the processes of the university to transform experience for students and staff, and partnering across the university … proven track record of designing and governinglarge-scale data and integration solutionsacross analytics and operational systems. Deep understanding ofdata governance, including data quality, metadata management, stewardship, and architectural assurance. Experience designing API‐led and event driven integration architectures. Practical experience architectingAI‐enabled data solutions, with an understanding ...

experience supporting migration to modern platforms such as Databricks, Microsoft Fabric or comparable technologies. Strong understanding of data governance, data ownership, data stewardship, metadata management, data quality standards and assurance frameworks. Job Offer We are a not for profit and operate in the public interest. We are based ...