Ontology Specialist - Data & AI

·  Lead the design and implementation of enterprise ontologies and knowledge graphs across business domains, including product and engineering, manufacturing, supply chain and operations.

·  Define graph schemas, taxonomies, controlled vocabularies and semantic models aligned with the enterprise lakehouse, Power BI, AI/ML pipelines and business applications.

·  Integrate structured, semi-structured and unstructured data using Python, Spark/PySpark, SQL and orchestration pipelines; enable entity resolution, relationship extraction and graph enrichment.

·  Develop graph queries and analytics using SPARQL, Cypher, Gremlin and KQL graph semantics; optimize indexing, partitioning, caching and query performance.

·  Integrate knowledge graphs with Azure OpenAI, Copilot and agentic AI frameworks to support semantic grounding, GraphRAG, hybrid retrieval and explainable AI outcomes.

·  Establish ontology lifecycle governance covering semantic consistency, metadata, lineage, stewardship, versioning and change control in partnership with domain experts.

·  Act as technical authority and thought partner for ontology, knowledge graph and semantic architecture initiatives.

Requirements

·  8+ years in Data Engineering, data architecture or related areas, including at least 3 years of hands-on Enterprise Ontology, Knowledge Graph or Semantic Architecture experience.

·  Strong