Ontology Engineer

• Design and develop enterprise ontologies representing operational domains such as services, processes, workflows, tasks, and system interactions
  
• Translate complex business concepts into scalable semantic and ontology -based models
  
• Define and maintain RDF/OWL schemas and semantic standards
  
• Implement and manage ontologies within a Knowledge Graph platform (e.g. Stardog or similar)
  
• Support ingestion and semantic enrichment of structured and unstructured operational data
  
• Collaborate with automation, data, and AI teams to embed semantics into workflows and solutions
  
• Establish and maintain a shared operational vocabulary across teams and systems
  
• Contribute to ontology governance, versioning, documentation, and best practices
  
• Ensure alignment with data governance, privacy, and regulatory requirements typical of pharma environments
  

Requirements

• Proven experience in ontology engineering and knowledge graph design
  
• Strong hands -on knowledge of RDF, OWL, and SPARQL
  
• Experience working with knowledge graph platforms (Stardog or equivalent)
  
• Ability to work closely with both technical and business stakeholders
  
• Experience in regulated environments (pharma, healthcare, life sciences, finance, etc.)
  
• Familiarity with data platforms, APIs, and enterprise systems
  
• Self -starter mindset, comfortable working in ambiguous and evolving contexts
  
• Strong communication skills and ability to explain semantic concepts clearly
  

• Experience supporting AI/ML or automation use cases with knowledge graphs
  
• Familiarity with Agile / Scrum environments
  
• Experience in large, global enterprise projects