Executive Director, Semantic and Knowledge Engineering
About The Position
Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities that power NovaOS. This role is responsible for creating a trusted, reusable knowledge foundation that connects data, business concepts, ontologies, taxonomies, and AI agents to enable consistent reasoning, interoperability, and scalable enterprise intelligence. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.
Requirements
- Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline.
- 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.
- Experience building enterprise semantic platforms that enable AI, analytics, search, and data interoperability at scale.
- Exceptional leadership, executive communication, and cross-functional stakeholder management skills.
Nice To Haves
- Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms.
- Experience in pharmaceutical, healthcare, or other highly regulated industries.
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.
Benefits
- health, life and disability benefits
- a 401(k) with company contribution and match
- a variety of other benefits
- a generous time off package including vacation, personal days, holidays and other leaves
- performance-based cash incentive
- eligibility to be considered for annual equity awards
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Executive
