Global Head of Semantic Tech & Knowledge Engineering

BioNJ Inc.

East Hanover (NJ)

Hybrid

USD 225,000 - 419,000

Full time

14 days+

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Job summary

Novartis in East Hanover, NJ seeks an Executive Director, Semantic and Knowledge Engineering to lead the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities powering NovaOS. You will create a trusted, reusable knowledge foundation that connects data, concepts, ontologies, taxonomies, and AI agents for scalable enterprise intelligence.

This senior role requires 10+ years in semantic technologies and enterprise architecture, plus

Qualifications

Education: Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or related field.
10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience.
Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture.

Responsibilities

Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities.
Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish a shared understanding across the organization.
Design and implement the enterprise semantic layer that enables 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 for enterprise knowledge assets.
Drive innovation in knowledge graphs, retrieval-augmented generation (RAG), semantic search, reasoning engines, and AI-enabled knowledge management.
Build and lead a high-performing team of semantic engineers, ontology specialists, and knowledge engineers while fostering technical excellence and innovation.