Job Title

As an Ontologist, you support our federated data governance teams to convert their subject matter expertise into high-quality reusable data for the enterprise, by capturing their competency requirements, documenting business rules, designing domain ontologies, and applying controlled vocabulary to contextualize our master and reference data. How You'll Make An Impact Collaborate with data governance teams to document their information requirements - including documentation of competency questions and business rules Design domain ontologies and collections using the company's Domain Ontology Editor - ensuring their quality and completeness by verifying their ability to formally answer all competency questions • Analyze existing knowledge to identify concepts for reuse or refactoring • Assist data governance teams with documenting their domain-specific entities and attributes in the data catalog, and contextualizing using the ontology-controlled vocabulary • Develop and maintain core building block ontologies to extend the upper ontology when new requirements arise⸻What You Bring – Your Skills and Capabilities (Neo4j Version) • Proficient inNeo4j property graph model , including nodes, relationships, labels, properties, and graph schema design • Strong expertise inCypher query languagefor querying, updating, and optimizing graph data • Hands-on experience withNeo4j Aura / Neo4j Enterprise , graph indexing, constraints, and query performance tuning • Experience designing and implementinggraph data modelsfor complex domains • Skilled in building graph-powered applications usingJava or Python , including: • Neo4j Java Driver • Neo4j Python Driver • Spring Data Neo4j • Py2neo or Neo4j Graph Data Science library • Experience withGraph Data Science (GDS)including: • Pathfinding algorithms • Centrality measures • Community detection • Link prediction • Familiar with data ingestion pipelines: • CSV/JSON import • APOC procedures • Batch processing • ETL into Neo4j • Experience integrating Neo4j with: • REST APIs • Microservices architectures • Cloud platforms (AWS, Azure, GCP) • Strong understanding of: • Graph modeling best practices • Query optimization • Indexing strategies • Transaction management • Solid background working in Agile environments using Jira and Confluence • Strong communication skills: able to explain graph concepts (nodes, relationships, traversals) clearly to non-technical stakeholders • Growth mindset and ability to adapt to evolving graph use cases and business requirements • Motivated to build graph-driven solutions that enable data intelligence and business transformation