VP, GenAI Knowledge Layer Specialist, Innovation Group

The GenAI Knowledge Layer Specialist establishes enterprise knowledge foundations-semantic models, graphs, and governance-that ground AI with trusted information. The role will design and maintain the semantic and knowledge foundations that allow AI to operate with trusted, contextual information. The Knowledge Specialist will be instrumental in ensuring that knowledge assets are structured, governed, and optimised for AI adoption across domains.

Knowledge Design

• Design enterprise knowledge structures to enable precise retrieval and reuse.

• Define taxonomies, ontologies, and metadata for crossdomain interoperability.

• Ensure knowledge assets are secured, versioned, and discoverable.

• Produce and maintain data products catalogue with clear ownership, quality, and traceability.

Knowledge Governance

• Define ownership, access, and approval workflows for key knowledge assets.

• Ensure compliance with privacy, security, and copyright requirements.

• Run periodic reviews and cleanup to maintain integrity and value.

Content Lifecycle & Search

• Operationalise content ingestion, curation, and expiry processes.

• Improve findability with search tuning, synonyms, and feedback loops.

• Measure usefulness and drive continuous optimisation of content assets.

Semantic Layer & Knowledge Graph

• Design semantic models and knowledge graph patterns that ground AI reasoning.

• Design embeddings, and retrieval strategies for RAG use cases.

• Establish quality checks to reduce hallucinations and improve precision.

• Design and evolve semantic models/knowledge graphs for accurate retrieval.

Qualifications/Requirements:

• 5-10 years experience in data engineering, data integration, ETL processes, and/or metadata management.

• Proven experience with knowledge management and implementation.

• Familiarity with knowledge graph and vector databases.

• Prior experience in financial services is highly desirable.

• Ability to collaborate across cross-functional teams and stakeholders.

• Strong problem-solving skills and adaptability in fast-changing environments.

• Bachelor's or Master's degree in relevant fields.