6 of 6 Metadata Management Jobs in the South East

Principal Metadata Management Lead Certain Advantage are recruiting on behalf of our globally renowned energies client for a Metadata Management Lead with Collibra Enterprise Data Catalogue (EDC) experience to take accountability for defining/designing, implementing and scaling enterprise metadata management and data governance … contractor in London, requiring 3 days onsite per week. Starting ASAP in May until 31st Dec 2026. Youll act as a thought leader on metadata, cataloguing, and governance design, with a strong focus on enterprise tooling capabilities, specifically: Collibra Enterprise Data Catalogue (EDC), Databricks Unity Catalogue, and the evolution ...

teams develop single customer and property views. The data architecture will also support system migration and integration, to establish effective master and reference data management via our Group Data Platform. The priority for this role will be in mapping the existing estate for CRM data, developing the relevant CDMs … contractual obligations. Governance and Compliance; Ensure data architecture complies with internal governance policies and external regulations (e.g., GDPR). Support data stewardship and metadata management initiatives. Platform governance and activation of Purview capabilities will support data standards. Performance and Optimization; Monitor and optimize data architecture for performance, cost ...

policies, standards, controls, and operational processes across data and enterprise systems Establish Data Ownership and Stewardship models across business domains Lead the strategy for metadata management, data cataloguing, lineage, and classification Define and embed Data Quality Management frameworks and KPIs Create governance approaches for AI usage, approval … Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment Drive governance adoption through communication, training, stakeholder engagement, and change management Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders Support enterprise transformation initiatives by embedding governance into delivery and change ...

analytics and AI solutions. Conduct risk assessments and ensure compliance with regulatory requirements (e.g., GDPR, HIPAA, AI Act) in Foundry. Lead data stewardship and metadata management within Foundry. Collaborate with business, IT, and data science teams to integrate governance controls into Foundry pipelines. Monitor and report on governance … Palantir Foundry Governance Experience Proven ability to implement and manage governance policies and controls in Palantir Foundry. Data & AI Governance Frameworks Regulatory Compliance & Risk Management (GDPR, HIPAA, AI Act) Data Quality, Privacy & Security Stakeholder Collaboration & Training Metadata Management & Data Stewardship Monitoring & Compliance Reporting Policy Development & Communication ...

strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support … implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with ...

architecture initiatives. The successful candidate will bring deep technical expertise in modelling high-complexity data alongside a strong grasp of data quality, lifecycle management, and modern data platform capabilities. This is a hands-on role for a meticulous, collaborative practitioner who can shape data design standards and deliver robust … across the organisation. • Work across structured, semi-structured, and non-tabular datasets, including event-based and streaming data sources. • Establish and embed data quality management frameworks, including profiling, validation, monitoring, and remediation processes. • Own end-to-end data lifecycle management — from ingestion and curation through to archival, retention ...