Director, Semantic & Knowledge Engineering
Novartis
August 24, 2026
Remote friendly (East Hanover, NJ)
United States
IT
Key Responsibilities:
- Lead the design and implementation of enterprise ontologies, taxonomies, business vocabularies, and semantic models.
- Develop and maintain knowledge graphs and semantic services supporting AI, analytics, search, and business applications.
- Partner with AI, Data Science, Product, and Engineering to integrate semantic capabilities into NovaOS products and platforms.
- Establish metadata standards, semantic governance processes, and quality controls.
- Develop semantic foundations for RAG, agentic AI, reasoning engines, and contextual search.
- Evaluate emerging semantic technologies and recommend improvements to the enterprise knowledge architecture.
- Lead and mentor semantic/knowledge engineers; promote reusable engineering patterns and technical excellence.
Essential Requirements:
- Bachelor’s or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or related.
- 8+ years’ experience in semantic technologies, knowledge engineering, metadata management, or enterprise information architecture.
- Hands-on expertise with ontologies, RDF/OWL, knowledge graphs, graph databases, metadata management, and semantic web technologies.
- Experience implementing semantic solutions enabling AI, analytics, interoperability, and enterprise search.
- Strong leadership, communication, and stakeholder management; experience leading cross-functional technical initiatives.
Desirable Requirements:
- Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms.
- Experience in pharmaceutical/healthcare or other highly regulated industries.
Compensation & Benefits:
- Salary range: $194,600–$361,400 per year (final based on skills/experience; may change).
- Performance-based cash incentive; may be eligible for annual equity awards.
- US-based eligible employees: comprehensive health/life/disability benefits, 401(k) with company match, other benefits, and time-off (vacation, personal days, holidays, other leaves).
- Lead the design and implementation of enterprise ontologies, taxonomies, business vocabularies, and semantic models.
- Develop and maintain knowledge graphs and semantic services supporting AI, analytics, search, and business applications.
- Partner with AI, Data Science, Product, and Engineering to integrate semantic capabilities into NovaOS products and platforms.
- Establish metadata standards, semantic governance processes, and quality controls.
- Develop semantic foundations for RAG, agentic AI, reasoning engines, and contextual search.
- Evaluate emerging semantic technologies and recommend improvements to the enterprise knowledge architecture.
- Lead and mentor semantic/knowledge engineers; promote reusable engineering patterns and technical excellence.
Essential Requirements:
- Bachelor’s or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or related.
- 8+ years’ experience in semantic technologies, knowledge engineering, metadata management, or enterprise information architecture.
- Hands-on expertise with ontologies, RDF/OWL, knowledge graphs, graph databases, metadata management, and semantic web technologies.
- Experience implementing semantic solutions enabling AI, analytics, interoperability, and enterprise search.
- Strong leadership, communication, and stakeholder management; experience leading cross-functional technical initiatives.
Desirable Requirements:
- Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms.
- Experience in pharmaceutical/healthcare or other highly regulated industries.
Compensation & Benefits:
- Salary range: $194,600–$361,400 per year (final based on skills/experience; may change).
- Performance-based cash incentive; may be eligible for annual equity awards.
- US-based eligible employees: comprehensive health/life/disability benefits, 401(k) with company match, other benefits, and time-off (vacation, personal days, holidays, other leaves).