4 of 4 Permanent Metadata Jobs in Cambridgeshire

daily operations. This is a fully remote position. Key Responsibilities Taxonomy & Classification Design Develop, maintain, and evolve comprehensive product taxonomies, hierarchies, attribute models, and metadata frameworks for ecommerce environments. Ensure taxonomy structures support scalability, localisation, and category growth. Collaborate with product, merchandising, and UX teams to align taxonomy with business ...

design and operation of the enterprise data platform architecture across ingestion, transformation, and serving layers. Define and enforce standards for data security, lineage, metadata, and quality. Collaborate to operationalize compliance, privacy, and risk management. Drive adoption of modern architectural patterns such as data mesh, lakehouse, and event-driven pipelines. Technology … hybrid batch/streaming architectures. Deep knowledge of API-driven data integration, SDK development, and API lifecycle management. Data Quality, Governance & Observability Experience operationalizing metadata management, data cataloging, and lineage tracking using Azure Purview, or equivalent. Skilled in defining and enforcing data quality, reliability, and compliance frameworks. Hands-on knowledge ...

scientific discovery and digital operations. Represent the data marketplace through demos, presentations, user feedback sessions and training. Data Enablement & AI Readiness Drive data quality, metadata excellence, semantic enrichment and interoperability. Work closely with AI teams to ensure external data is ready for advanced analytics and LLM-based applications. Collaborate … enterprise metadata standards, data models, domain alignment and onboarding pathways. Technical & Professional Requirements Strong expertise in information science, metadata, ontologies, scientific knowledge systems, and FAIR data principles. Proven experience in product management, ideally for scientific, data, or digital products. Familiarity with agile methodologies and cross-functional product delivery. Understanding ...

scientific discovery and digital operations. Represent the data marketplace through demos, presentations, user feedback sessions and training. Data Enablement & AI Readiness Drive data quality, metadata excellence, semantic enrichment and interoperability. Work closely with AI teams to ensure external data is ready for advanced analytics and LLM-based applications. Collaborate … enterprise metadata standards, data models, domain alignment and onboarding pathways. Technical & Professional Requirements Strong expertise in information science, metadata, ontologies, scientific knowledge systems, and FAIR data principles. Proven experience in product management, ideally for scientific, data, or digital products. Familiarity with agile methodologies and cross-functional product delivery. Understanding ...