Executive Director, Semantic and Knowledge Engineering

Executive Director, Semantic and Knowledge Engineering

Responsibilities:
- Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities.
- Develop and govern enterprise ontologies, taxonomies, business vocabularies, and semantic models.
- Design and implement the enterprise semantic layer to enable trusted AI, consistent analytics, interoperability, and reusable business knowledge.
- Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions.
- Establish governance, metadata management, knowledge lifecycle processes, and quality standards.
- Drive innovation in knowledge graphs, RAG, semantic search, reasoning engines, and AI-enabled knowledge management.
- Build and lead a high-performing semantic engineering team.

Essential Requirements:
- Bachelor’s or advanced degree in Computer Science/Information Science/AI/Data Science/Bioinformatics or related.
- 10+ years’ experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms (including leadership).
- Deep expertise in ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture.
- Experience building enterprise semantic platforms enabling AI/analytics/search/interoperability at scale.
- Exceptional leadership and cross-functional communication.

Desirable Requirements:
- Experience applying semantic technologies to generative/agentic AI and RAG.
- Experience in pharmaceutical/healthcare or other highly regulated industries.

Compensation/Benefits (as stated):
- Salary range: $225,400–$418,600/year; performance cash incentive; potential annual equity awards; comprehensive benefits package and time off.

Location/Travel:
- East Hanover; remote may be possible. No relocation. Requires ~10% travel.