Job Summary
The Ontology Specialist will collaborate with business subject matter experts, data teams, and platform teams to understand business data domains and translate key concepts, relationships, and definitions into structured semantic models. The role involves designing and maintaining ontologies, taxonomies, knowledge graphs, and RDF-based representations aligned with real-world business processes. The specialist will ensure semantic consistency, extensibility, and reusability while supporting the integration of semantic models across data platforms.
Key Responsibilities
• Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.
• Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned with real-world business processes.
• Build and manage knowledge graphs to standardize meaning across datasets and systems.
• Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.
• Ensure semantic models remain consistent, extensible, and understandable as business requirements evolve.
• Collaborate with data and platform teams to integrate semantic models into data platforms.
• Publish and document reusable semantic artifacts, standards, and best practices.
Required Qualifications
• At least 6 years of professional experience with hands-on work in semantic modeling, knowledge graphs, or ontology development.
• Bachelor's degree or equivalent practical experience.
• Practical experience designing and applying ontologies or semantic models in real-world data environments.
• Working knowledge of semantic web technologies, including RDF, RDFS, and OWL.
• Experience modeling complex data relationships.
• Ability to translate business concepts into structured semantic representations.
• Familiarity with Python for data work, automation, or supporting semantic workflows and AI.
• Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
Preferred Qualifications
• Experience with knowledge graph platforms and tools such as Neo4j.
• Exposure to modern graph-enabled AI approaches such as GraphRAG.
