This role pays more than
55%
of similar roles. Most pay
$204,293–$288,150
— the shaded band above.
At the midpoint, this role pays about
$252k
versus about
$246k
for comparable roles.
Based on 240 similar postings.
Employer
About Novartis
Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals
Novartis currently has
26 open roles
on FindRole.
Listed pay typically runs
$194,600–$361,400
across 26 roles with salary data.
Associate Director, Semantic & Knowledge Engineering joins the Strategy, Platforms & Transformation team to design, build, and govern enterprise semantic models, ontologies, taxonomies, business vocabularies, knowledge graphs, metadata services, and semantic APIs. The role focuses on embedding reusable semantic capabilities into products and workflows to enable AI, analytics, enterprise search, retrieval-augmented generation (RAG), agentic AI, contextual search, and reasoning engines. Key responsibilities include managing metadata governance, ensuring quality control of assets, and mentoring engineers while collaborating with product and engineering teams. The position requires expertise in RDF/OWL, SKOS, SPARQL, graph databases, and Python. Candidates must possess experience in data architecture, knowledge lifecycle management, and building semantic layers for AI grounding. This role addresses the technical challenge of creating consistent meaning across products and data to improve interoperability and scalability within a complex enterprise ecosystem.
Ontologies
Knowledge Graphs
RDF
OWL
Semantic Web
RAG
Generative AI
Agentic AI
Metadata Management
Graph Databases
Data Science
Machine Learning
Deep Learning
Data Governance
Statistical Analysis
Time Series Analysis
Knowledge Graphs
RDF
OWL
Semantic Web
RAG
Ontologies
Taxonomies
Metadata Management
Data Governance
Machine Learning
Deep Learning
Artificial Intelligence
Graph Databases
Data Science
Statistical Analysis
Time Series Analysis
Data Visualization
Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Data Governance
Statistical Analysis
Time Series Analysis
Data Visualization
Solution Architecture
Roadmap Development