4 of 4 Taxonomies Jobs in the Midlands

monitoring and observability signals.Understanding of AI control-plane design, including agent permissions, oversight and human-in-the-loop workflows.Knowledge and Data ArchitectureExperience designing knowledge taxonomies or graphs that connect documentation, incident history, automations and agent capabilities.Experience applying “as-code” practices to keep operational knowledge governed and version-controlled.Ability to design ...

practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks and governance … projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. Is a strong ...

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 ...