276 to 300 of 639 Metadata Jobs in the UK

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 for business ...

rationalisation, and optimisation initiatives. Work closely with business and technical stakeholders to translate requirements into robust data solutions. Establish best practices across data governance, metadata, lineage, data quality, and security. Provide architectural oversight for integration, reporting, and analytics workloads. Review and enhance database performance, scalability, resilience, and availability. Produce architecture … underwriting, broker, customer, billing, risk, and reinsurance data. Experience designing enterprise-grade data models and data architectures. Strong knowledge of data governance, data quality, metadata management, and lineage. Experience supporting database transformation and migration programmes. Ability to operate effectively within complex, highly regulated environments. Strong stakeholder engagement and communication skills. ...

solutions.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 modeling … OLTP, and 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 ...

policy, claims, finance, actuarial and regulatory use cases. Define security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls. Collaborate with business stakeholders, delivery teams and solution architects to capture data requirements, shape solution options and communicate risks, issues … tool-specific approaches. Prior experience of data model and data management design within delivery projects for underwriting, policy administration or claims applications. Experience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms. Understanding of data security, privacy, access control and regulatory considerations relevant to enterprise and insurance ...

Modelling & Architecture Design and maintain conceptual, logical, and physical data models within Salesforce. Define relationships between standard and custom Salesforce objects. Develop data dictionaries, metadata standards, and data lineage documentation. Ensure scalability, performance, and maintainability of Salesforce data structures. Support enterprise data architecture and integration strategies. Data Analysis & Reporting Gather … Salesforce Reporting and Dashboards Data Management and Governance Salesforce Development Skills Apex Development Lightning Web Components (LWC) SOQL & SOSL Salesforce Flow Validation Rules Custom Metadata Types Platform Events Asynchronous Processing Data Analysis Skills Data Modelling Techniques Data Profiling Data Mapping Data Quality Assessment Root Cause Analysis Business Data Analysis ...

MetadataLocation: Fareham, once every 2 weeks Contract Type: Permanent, Full-TimeSalary: upto 60.000Start Date: ASAPAbout the RoleWe are looking for a Data Governance Analyst - Metadata to join a growing Data Governance team and play a key role in strengthening a data-driven culture across the business.Working within the metadata pillar … will help deliver and enhance metadata services that support trusted, well-managed, and discoverable data and AI products. This is an exciting opportunity to work with industry-leading tools, including Collibra and Databricks Unity Catalog, while contributing to strategic data capabilities that directly support business decision-making and AI enablement.This ...

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 ...

Responsibility: Define data ownership and accountability across the organization Create and manage the enterprise-wide data catalog Oversee the creation, maintenance and use of metadata Implement and maintain security protocols to protect data from unauthorised access and breaches Establish and enforce data governance and policy standards Regularly audit data access ...

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 ...

rules, 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 to colleagues ...

senior CyberArk Implementation Engineer to lead a major Privileged Access Management transformation across their enterprise infrastructure. Role and Responsibilities Leading CyberArk SaaS migration and metadata clean-up as SME Administering Vault, users, groups, policies and security settings Automating onboarding, rotation and decommissioning of privileged credentials Planning and delivering upgrades, health ...

information science, including literature searching, content analysis, and knowledge synthesisProven ability to translate scientific and business questions into effective search and analysis techniquesFamiliarity with metadata, ontologies, and FAIR data principles for structuring scientific contentWorking knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies ...

appropriate specifications and minimum data requirements. You'll work closely with contractors, CAD colleagues and Information Management teams, analysing everything from file structures and metadata through to supporting evidence and data acceptance requirements. The key question you'll help answer is whether the information being supplied is compliant, consistent ...

appropriate specifications and minimum data requirements. You'll work closely with contractors, CAD colleagues and Information Management teams, analysing everything from file structures and metadata through to supporting evidence and data acceptance requirements. The key question you'll help answer is whether the information being supplied is compliant, consistent ...

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 ...

invest in its financial reporting, planning, and analytics landscape. Key Responsibilities OneStream Administration & Governance Manage and maintain the OneStream application, including hierarchies, dimensions, metadata, workflows, and reporting structures. Administer user security, access controls, approval workflows, and governance processes. Oversee reporting cycle activities, including period opens, closes, and workflow management. Ensure ...

with agreed tolerance. - Lead data preparation and quality – establish an ownership model for data within scope of the project, aligning to corporate retention and metadata requirements where available and defining project specific requirements as necessary. Lead targeted data cleansing, estimating the size and scale of cleansing and the specific resources ...

pipelines using Copado , with exposure to Azure DevOps or comparable DevOps/release management platforms . Strong knowledge of Salesforce DX (SFDX), Salesforce Metadata API, Salesforce security models and deployment automation . Proven experience with Git-based version control , including GitHub or Bitbucket, with strong knowledge of branching, merging ...

grounded insight generation Developing intelligent retrieval, ranking, recommendation and decision-support systems Applying semantic, vector and hybrid search techniques across large-scale datasets Integrating metadata, taxonomies, ontologies and structured knowledge into AI workflows Developing robust LLM and AI evaluation frameworks , experimentation methodologies and monitoring Improving the quality, reliability, trust ...