4 of 4 Permanent Metadata Management Jobs in the City of London

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data ...

asset-heavy industry — essential, not a nice-to-have Platforms: SAP MDG, Informatica MDM, Collibra or Microsoft Purview; SAP S/4HANA environment Line Management: Lead a Master Data team of internal staff, outsourced specialists and consultants Visa Sponsorship: Not available — you must already have the right to work … outsourced. Manage external specialists and advisory partners — scope, KPIs, deliverables, cost Benchmarking - Benchmark against NextEra, RWE, DEWA and TAQA. Assess AI-enabled governance, metadata management and catalogue platforms, and get data ready for advanced analytics and AI Skills & Experience (core) We understand this is a long list — please ...

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 ...

responses, discovery, risk and high-level estimates. Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems. Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented … approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (e.g., Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement. ...