Associate Director, Semantic & Knowledge Engineering (2 Openings)
Job Location:
East Hanover, NJ - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Description Summary
#LI-HybridReporting to the Executive Director Semantic and Knowledge Engineering the Associate Director Semantic and Knowledge Engineering designs builds and governs enterprise semantic models ontologies taxonomies business vocabularies knowledge graphs metadata services and semantic APIs. The role enables AI analytics enterprise search interoperability retrieval-augmented generation (RAG) agentic AI contextual search and reasoning engines by embedding reusable semantic capabilities into products and workflows across Strategy Platforms & Transformation.
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 employees 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.
There are 2 positions available.
Job Description
Key Responsibilities:
Enterprise semantic modeling and knowledge engineering
Design develop andmaintainenterprise ontologies taxonomies businessvocabularies and semantic models thatestablishconsistent meaning across products data and AI capabilities.
Build and enhance knowledge graphs metadata services and semantic APIs that support AI analytics enterprise applications and commercial decision enablement.
Semantic capabilities for AI and product workflows
Collaborate with Product Applied AI Analytics Engineering and Platform Engineering teams to embed semantic capabilities into products workflows platforms and reusable solution patterns.
Support semantic foundations for RAG agentic AI contextual search reasoning engines enterprise search analytics and interoperability initiatives.
Metadata governance andknowledgelifecycle management
Implement metadata governance semantic quality controls stewardship practices and lifecycle management for enterprise knowledge assets.
Promote quality consistency reuse transparency and governed evolution of semantic assets across the SPT ecosystem.
Technology evaluation and architecture evolution
Evaluate emerging semantic technologies standards graph capabilities and knowledge engineering approaches to inform the evolution ofthe enterpriseknowledge architecture.
Contribute reusable engineering patterns and technical guidance that reduce duplication and improve scalability across semantic and knowledge engineering work.
Technical mentorship and cross-functional collaboration
Mentor semantic and knowledge engineers while promoting reusable engineering patterns technical excellence disciplined documentation and pragmatic implementation.
Communicate technical trade-offs risks dependencies andrecommendations clearlyto product engineering analytics AI and business stakeholders.
Essential Requirements:
- Education: Bachelors degree in Computer Science Information Science Artificial Intelligence Data Science Bioinformatics or a related discipline; advanced degree preferred.
- 6 years of progressive experience in semantic technologies knowledge engineering metadata management data/information architecture data product engineering or AI-enabling data platforms.
- Hands-on experience designing andmaintainingontologies taxonomies controlled vocabularies business glossaries semantic models RDF/OWL SKOS SPARQL graph databases knowledge graphs metadata catalogs data lineage and semantic APIs/services.
- Experience building semantic assets that enable AI grounding RAG/GraphRAG enterprise search contextual search reasoning engines analytics consistency interoperability and reusable product capabilities.
- Working knowledge of data governance stewardship models provenance quality controls access/security controls lifecycle management privacy and compliance expectations for enterprise knowledge assets.
- Ability to translate complex business/domain concepts into reusable semantic models and partner effectively with Product Applied AI Analytics Engineering Platform Engineering Architecture and business domain experts.
- Strong engineering delivery discipline including documentation versioning validation/testing of semantic assets standards adherence backlog execution reusable patterns and pragmatic implementation in agile/product teams.
- Strong analytical communication stakeholder management and collaboration skills with the ability to explain semantic design choices technical trade-offs risks and dependencies to technical and non-technical stakeholders.
Desirable Requirements:
- Experience applying semantic technologies in pharmaceutical healthcare life sciences commercial clinical medical real-world data or another regulated data environment.
- Experience supporting generative AI agentic AI LLM-powered products RAG/GraphRAG vector databases graph-enhanced retrieval knowledge graph embeddings enterprise search or AI-ready semantic layers.
- Familiarity with FAIR data principles master/reference data modernization metadata platform roadmaps ontology governance forums stewardship operating models and enterprise knowledge architecture practices.
- Experience with cloud-based data and AI ecosystems graph/vector tooling semantic layer technologies API-based semantic services and integration with enterprise search or analytics platforms.
- Experience mentoring junior semantic/knowledge engineers shaping reusable engineering patterns and contributing to technical standards or communities of practice.
- Advanced degree or relevant certification in Computer Science Information Science Data Science Artificial Intelligence Bioinformatics Knowledge Engineering Ontology Engineering ora relateddiscipline.
Novartis Compensation Summary:
The salary for this position is expected to range between $176400 and $327600 per year.
The final salary offered isdeterminedbased on factors like but not limited to relevant skills and experience and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and depending on the level of the role eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes healthlifeand disability benefits a 401(k) with company contribution and match and a variety of other addition employees are eligible for a generous time off package including vacation personal daysholidaysand other leaves.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment hiring training promotion or other employment practices for reasons of race color religion sex national origin age sexual orientation gender identity or expression marital or veteran status disability or any other legally protected status.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If because of a medical condition or disability you need a reasonable accommodation for any part of the application process or to perform the essential functions of a position please send an e-mail to or call 1 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$176400.00 - $327600.00Skills Desired
Artificial Intelligence (AI) Biostatistics Business Value Creation Change Management Curious Mindset Data Governance Data Literacy Data Quality Data Science Data Visualization Deep Learning Graph Algorithms Learning Agility Machine Learning (ML) Machine Learning Algorithms Python (Programming Language) Stakeholder Engagement Statistical Analysis Time Series AnalysisRequired Experience:
Director
About Company
Novartis is a global healthcare company based in Switzerland that provides solutions to the evolving needs of patients worldwide.
