Director, Knowledge Graph & Semantics - HYBRID ROLE
Core
Lead the design, build, and operation of Vertex's enterprise Knowledge Graph and Semantic Layer to serve as the unified data substrate for AI agents and analytical systems.
Role type
Director, Knowledge Graph & Semantics
Builds
Enterprise knowledge graph spanning clinical, research, regulatory, and commercial domains; enterprise semantic layer for metrics and dimensions.
Domain
Biotechnology / Life Sciences / Data Engineering / AI
Deliverable
production ML models | infrastructure
Required skills
Enterprise knowledge graph design and operation, Semantic layer governance, Cloud data platforms (Snowflake/Databricks), Cross-domain data integration, AI agent grounding, Production operations, Technical leadership
Preferred skills
Pharma/Life Sciences data context, Regulated environment experience (GxP), Life Sciences ontologies (SNOMED CT, MedDRA), Graph query languages (Cypher, SPARQL), LLM integration with graphs
Technologies
Graph databases, AI semantic layer tooling, Snowflake, Databricks, Cypher, SPARQL, Gremlin, GQL
Responsibilities
Design and operate the enterprise knowledge graph, Build and govern the semantic layer, Define graph and semantic strategy, Partner on ontology translation, Build graph traversal interfaces for AI agents, Onboard systems into the graph layer, Own production SLAs and performance
Seniority
Director, hands-on engineering leader
