176 to 200 of 455 Metadata Jobs in the UK

change across the portfolio - versioning, deprecation, consumer communication, and migration support Ensuring products meet governance, quality, and regulatory standards with clear ownership, lineage, and metadata What You'll Be Doing Own a portfolio of data products within a specific domain, which could be Customer Data for example. Working on exciting ...

decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning ...

ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. Maintain the model inventory and model metadata for the coverage area. Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. ...

consistency Understanding of AI capabilities and how they can be leveraged safely and ethically in knowledge work Customer-centric mindset Experience in taxonomy development, metadata management, or content classification Good technical ability and an aptitude for learning proprietary taxonomy systems Knowledge of Agile working methodologies Proficiency in additional languages Experience ...

leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI‐powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with ...

integration, DER/RES integration and corporate asset management. Responsibilities Develop and implement data governance practices, including data ownership, data quality controls, validation rules, metadata, versioning, and lifecycle management. Support data standardisation and harmonisation across network model datasets, systems, and stakeholders. Manage and maintain network model data, ensuring data quality ...

hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real‐time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology ...

reduced, development costs lowered, and a consistent experience provided across all data latencies (Real-time, Recent History, and Deep History), data types (time series, metadata, unstructured) and services.* Internal users are recognized as ultra-valuable sources of feedback. By mandating both internal and external DA workflows through the same ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

data structures and integration patterns supporting placement, policy, claims, exposure, and risk analytics use cases. Establish standards for data ingestion, transformation, storage, lineage, metadata, and consumption. Support the evolution of modern data platforms, including cloud-based data lakes, warehouses, and event-driven data architectures. Design data solutions across both relational … architectures. Experience with both relational and non-relational data platforms , including exposure to MongoDB and document-based data models. Strong understanding of data governance, metadata, lineage, and data quality frameworks. Experience working across complex legacy and modern technology environments. Strong stakeholder management and communication skills, with the ability to engage ...

Modelling, Governance and Controls Work closely with technical and quant teams on domain data modelling, canonical views, silver-layer enterprise views, data catalogues, lineage, metadata and critical data elements. Provide product-owner challenge to ensure data models are fit for business purpose, support cross-asset analytics, and can scale … production risk and trading workflows. Drive strong data governance practices, including data ownership, stewardship, quality controls, metadata management, lineage and controlled data sharing. Ensure compliance with CIBC policies, standards, regulatory expectations and industry good practice. Strategic Data Source Determination Identify, assess and recommend strategic internal and external data sources ...

designs to ensure scalability, reusability, security and architectural alignment Reducing duplication and technical debt across the data landscape Working closely with Data Governance around metadata, lineage, data quality, privacy and compliance Supporting governance capabilities within Databricks Unity Catalog Providing technical direction and mentoring to data and engineering teams Evaluating emerging … event-driven integration patterns Experience delivering significant data migration , ideally from legacy or bespoke systems into modern cloud platforms Strong understanding of data governance, metadata, lineage and data quality Excellent stakeholder management and communication skills Experience influencing architecture and engineering teams Experience within insurance or financial services would be advantageous ...

Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data … OLAP, and the treatment of data as a technology asset. Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering ...

Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices including accelerating requirements analysis, pattern identification, data … OLAP, and the treatment of data as a technology asset. Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering ...

Principal Information Architect (Executive Director) at JPMorganChase and become a promoting force behind the development and adoption of cutting-edge, cloud-based technologies. Make metadata real, usable, and impactful in modern engineering. In this role, you’ll sit at the intersection of Information Architecture and Software Engineering—building models, languages … have room to grow your craft, deepen your technical breadth, and influence standards across a large, complex environment. As a Principal Information Architect, Metadata at JPMorganChase within the Commercial & Investment Bank, you will connect enterprise modeling and metadata practices to real software engineering assets and workflows. You will develop metamodels ...

define data standards, partner with stakeholders, and drive remediation programs to ensure trusted, business-ready data. The role requires experience in data governance disciplines, metadata management, and data quality controls, with strong analytical and communication skills to influence across business and technology teams. #J-18808-Ljbffr ...

shape and deliver the enterprise data strategy for a major transformation programme. This hybrid London role focuses on target-state data architecture, governance, and metadata frameworks, with strong stakeholder collaboration and mentoring of teams. You will drive data governance, models, and roadmaps across a complex organisation, ensuring data is governed ...

data governance and quality across IP&I. The role involves ensuring data is accurate, trusted, and ready for AI-ready analytics, with responsibilities spanning metadata, data quality and data products. This is a hybrid, full-time position based in Leeds, Bristol or Edinburgh. You will collaborate with senior stakeholders, promote ...

aligned to EU AI Act, GDPR, and global regulations Oversee model risk management, AI lifecycle governance, and third‐party AI usage Drive data quality, metadata management, and lineage transparency Partner with architecture, cybersecurity, and business teams to embed governance‐by‐design Enable self‐servicedata and AI across domains Experience & Skills ...

Critical Data Elements (CDE) within mapped processes Strong proficiency in process mapping tools. Data Literacy: Experience developing detailed data element mapping, data dictionaries, or metadata specifications. A good understanding of data governance concepts including data quality, data definitions, data lineage, ownership, and controls. Ideally, you will also have: Experience with ...

monitoring, reporting, and remediation processes to improve trust in business data. Support the adoption and effective use of data governance tools, including data cataloguing, metadata management, and data quality platforms. Partner with business teams to promote data ownership, stewardship, and a data-driven culture. Provide guidance, training, and support ...

Quality Troubleshoot CDP integrations, APIs, access and data pipeline issues. Identify and resolve data quality and first-party data limitations. Support data governance, taxonomy, metadata and documentation standards. Audience Strategy & Development Help develop unified audience frameworks and cross-platform standards. Support advanced segmentation, activation and omnichannel use cases. Explore ...

Engineer to lead the design, implementation, and optimisation of CyberArk solutions across the banks infrastructure. Act as SME for CyberArk SaaS migration and metadata clean-up in major PAM transformation project. Administer and maintain CyberArk Vault, users, groups, policies, and security settings. Automate onboarding, rotation, and decommissioning of privileged credentials. ...

learning objectives, pathways and curriculum design. Commissioning, curating and overseeing digital learning content across multiple formats. Managing content publishing, migration, lifecycle management, taxonomy, metadata and quality assurance. Evaluating learner journeys and identifying opportunities to improve engagement, completion rates and learning outcomes. Developing dashboards, analytics and reporting to monitor learner engagement ...