Senior Manager – Knowledge Management

• Define and implement enterprise knowledge engineering and governance standards aligned to the Data & AI strategy
• Design and evolve ontologies, metadata schemas and structured knowledge models
• Oversee the development and optimisation of the Enterprise Knowledge Graph and associated data stores
• Partner with Data Engineering and AI teams to design ingestion, transformation, enrichment and retrieval pipelines
• Improve retrieval, grounding and context pipelines for AI systems, including vector-based retrieval
• Establish lifecycle, lineage, ownership and quality controls across knowledge platforms
• Identify gaps in the current technology stack and define the target-state architecture
• Influence senior stakeholders to adopt consistent ownership, governance and data design principles
• Lead and develop a specialist team spanning Data, Governance and AI

• Proven experience designing and implementing enterprise metadata models, ontologies, taxonomies or structured knowledge architectures
• Hands-on experience building, improving or overseeing ingestion, transformation, enrichment, indexing or retrieval pipelines within modern data platforms
• Strong experience across structured and unstructured data, and how they are connected to support enterprise use cases
• Experience with graph databases, knowledge graph technologies, vector stores or AI-enabled retrieval systems
• Strong understanding of how structured data and knowledge models support AI use cases such as enterprise search, RAG, copilots and agentic workflows
• Experience defining and embedding governance frameworks covering data quality, lifecycle, lineage, provenance, versioning and ownership
• Experience operating in complex, regulated or risk-sensitive environments where control, auditability and assurance are critical
• A background in data engineering, data management, information architecture or a related field, with progression into AI-enabled data and knowledge design
• Experience leading specialist technical teams and influencing across a matrix organisation

Desirable experience includes exposure to modern data environments, enterprise knowledge graph technologies, and transformation-led settings where operating models, standards or governance approaches were built from the ground up.