5 of 5 Taxonomies Jobs in the West Midlands

Strong stakeholder engagement and influencing skills, with the ability to communicate complex concepts to technical and non-technical audiences Experience developing semantic models, ontologies, taxonomies, business glossaries or knowledge structures. Strong knowledge of metadata, data lineage, data quality, master data management and data governance. Experience defining enterprise architecture principles, standards ...

Pay: Up to USD $15 per hour, paid weekly Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates. Location: Remote - United Kingdom Schedule: Flexible, no minimum ...

Pay: Up to USD $15 per hour, paid weekly Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates. Location: Remote - United Kingdom Schedule: Flexible, no minimum ...

permission-aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...

permission-aware, and traceable answers. This position encompasses ownership of the architecture, standards, governance, design assurance, and roadmap for various knowledge management components, including taxonomy, metadata, and retrieval systems. Key Responsibilities: Architecture & Governance: - Own and define the enterprise knowledge architecture, principles, and roadmap aligned with AI and data strategies. - Establish … govern standards for taxonomy, metadata, content structure, and knowledge lifecycle management. Search & Retrieval: - Set architecture requirements for enterprise search and retrieval, ensuring AI responses are sourced from approved and traceable knowledge. - Use evidence-based insights to identify and prioritise improvements in architecture and content quality. Quality & Lifecycle Management: - Define controls ...