Novartis Logo

Novartis

Director, Semantic & Knowledge Engineering

Posted 29 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in USA
195K-361K Annually
Senior level
Remote or Hybrid
Hiring Remotely in USA
195K-361K Annually
Senior level
Leads enterprise semantic and knowledge engineering for NovaOS, including ontologies, taxonomies, knowledge graphs, semantic models, metadata standards, and governance. Partners with AI, data science, product, and engineering teams to enable AI reasoning, RAG, search, analytics, interoperability, and enterprise intelligence. Evaluates semantic technologies, establishes quality controls, and mentors semantic and knowledge engineering teams.
The summary above was generated by AI

Job Description Summary

#LI-Hybrid
Reporting to the Executive Director, Semantic and Knowledge Engineering, the Director, Semantic and Knowledge Engineering leads the design, implementation, and governance of enterprise semantic models, ontologies, knowledge graphs, and metadata frameworks that power NovaOS. This role partners across Applied AI, Data Science, Product, and Engineering to establish trusted semantic assets that enable interoperable data, AI reasoning, retrieval-augmented generation (RAG), 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.


 

Job Description

Key Responsibilities: 

  • Lead the design and implementation of enterprise ontologies, taxonomies, business vocabularies, and semantic models. 

  • Develop and maintain knowledge graphs and semantic services that support AI, analytics, search, and business applications. 

  • Partner with AI, Data Science, Product, and Engineering teams to integrate semantic capabilities into NovaOS products and platforms. 

  • Establish metadata standards, semantic governance processes, and quality controls for enterprise knowledge assets. 

  • Support AI initiatives by developing 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 and knowledge engineers while promoting reusable engineering patterns and technical excellence. 

Essential Requirements:

  • Education:  Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline. 

  • 8+ years of 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 that enable AI, analytics, interoperability, and enterprise search. 

  • Strong leadership, communication, and stakeholder management skills with 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. 

Novartis Compensation Summary: 

The salary for this position is expected to range between $194,600 and $361,400 per year. 

 

The final salary offered is determined based 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 health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and 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 [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


 

Salary Range

$194,600.00 - $361,400.00


 

Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Novartis San Carlos, California, USA Office

San Carlos, United States, 0

Similar Jobs

29 Days Ago
Remote or Hybrid
USA
176K-328K Annually
Senior level
176K-328K Annually
Senior level
Biotech • Pharmaceutical
Designs, builds, and governs enterprise ontologies, taxonomies, semantic models, knowledge graphs, metadata services, and semantic APIs. Partners with product, AI, analytics, platform, and business teams to enable RAG, agentic AI, contextual search, reasoning, interoperability, and analytics consistency. Establishes metadata governance, quality controls, stewardship, lifecycle management, and reusable engineering patterns. Evaluates semantic technologies, mentors engineers, and communicates technical trade-offs and recommendations to diverse stakeholders.
Top Skills: Agentic AiData LineageEnterprise SearchGraph DatabasesGraphragKnowledge GraphsMetadata CatalogsPythonRagRdf/OwlSemantic ApisSkosSparqlVector Databases
29 Days Ago
Remote or Hybrid
USA
225K-419K Annually
Expert/Leader
225K-419K Annually
Expert/Leader
Biotech • Pharmaceutical
Leads enterprise strategy, architecture, governance, and implementation for semantic layers, knowledge graphs, ontologies, taxonomies, and AI-enabled knowledge capabilities. Partners with AI, data science, product, engineering, and business teams to enable trusted AI, analytics, search, interoperability, and reusable knowledge. Establishes metadata and knowledge lifecycle standards, advances RAG and semantic search innovation, and builds a high-performing team of semantic and knowledge engineers.
Top Skills: Agentic AiAi PlatformsArtificial IntelligenceEnterprise Information ArchitectureGenerative AiGraph DatabasesKnowledge EngineeringKnowledge GraphsMetadata ManagementOntologiesRdf/OwlReasoning EnginesRetrieval-Augmented GenerationSemantic SearchSemantic TechnologiesSemantic Web TechnologiesTaxonomies
5 Minutes Ago
Easy Apply
Remote or Hybrid
Arizona, USA
Easy Apply
16-16 Hourly
Junior
16-16 Hourly
Junior
Automotive • Big Data • Insurance • Software • Transportation
Handle high-volume inbound roadside assistance calls, gather location and vehicle details, dispatch tow and service providers, and support distressed motorists. The role requires empathetic de-escalation, accurate multitasking across digital systems, sound judgment under pressure, reliable schedule adherence, and effective collaboration in a remote contact-center environment.
Top Skills: Crm SoftwareDispatch SoftwareEthernetGmailGoogle ChatGoogle ChromeGoogle DocsGoogle MapsGoogle SheetsGoogle WorkspaceHarverMozilla FirefoxSwoopWindows 11Zoom

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account