Executive Director, Semantic & Knowledge Engineering

Novartis

East Hanover (NJ)

Hybrid

USD 225,000 - 419,000

Full time

6 days ago

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Job summary

Novartis is seeking an Executive Director, Semantic and Knowledge Engineering to lead strategy, architecture, and implementation of the enterprise semantic layer powering NovaOS. The role is based in East Hanover with possible remote options and travel up to 10%.

You will govern ontologies, taxonomies and knowledge graphs, collaborate with AI, data science, product, and engineering teams, and build a high-performing semantic engineering team to enable trusted AI and scalable analytics.

Qualifications

Education: Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or related field.
10+ years' experience in semantic technologies, enterprise architecture, data management, or AI platforms, including leadership.
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.