✦ Luna Orbit — AI & Machine Learning

Lead Knowledge Engineer

at S&P Global

📍 2 Locations Unknown Posted April 18, 2026
Type Full-Time
Experience lead
Exp. Years 5+ years
Education Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred.
Category AI & Machine Learning

Lead Knowledge Engineer responsible for building and enhancing ontologies, taxonomies, and knowledge graphs. Will lead a team of knowledge engineers and help define semantic vision, roadmap, and next-generation architecture for interconnected data and discovery.

  • Develop, implement, and enhance ontologies, taxonomies, knowledge graphs, and semantic artefacts
  • Lead and manage a team of knowledge engineers
  • Provide thought leadership on strategic semantic projects and feasibility
  • Execute interconnected data vision via linked metadata schemes and semantic harmonization
  • Analyze and implement knowledge organization strategies using metadata and ontology management tools

Works with semantic web technologies including RDF, RDFS, OWL, and SPARQL to develop knowledge organization strategies and linked metadata schemes. Uses semantic tooling such as VocBench, TopQuadrant, PoolParty, RDFLib, and triple stores for metadata management, ontology management, and semantic enrichment, supporting knowledge graph-driven search and asset discovery.

The ideal candidate is a Lead Knowledge Engineer with 5+ years of experience in taxonomy and ontology development and hands-on semantic web technologies. They have strong knowledge graph and semantic enrichment experience using tools such as VocBench, TopQuadrant, PoolParty, and RDFLib with triple stores. They can lead and manage a team of knowledge engineers while influencing semantic roadmaps and governance initiatives.

5+ years of experience with taxonomy and ontology developmentsemantic web technologies (RDFRDFSOWLSPARQL)open-source or commercial semantic tools (VocBenchTopQuadrantPoolPartyRDFLibtriple stores)Developimplementand continue to enhance ontologiestaxonomiesknowledge graphsand related semantic artefactsAnalyze and implement knowledge organization strategies using tools capable of metadata managementontology managementand semantic enrichmentLead and manage a team of knowledge engineersAbility to communicate complex technical strategies and concepts to technical and non-technical stakeholders and executives
Advanced studies in computer scienceknowledge engineeringinformation sciencesor related discipline preferred.3+ years of experience in advanced data integration with semantic and knowledge graph technologies
VocBenchTopQuadrantPoolPartyRDFLibtriple stores
knowledge engineeringontologiestaxonomiesknowledge graphssemantic artefactsRDFRDFSOWLSPARQLlinked metadata schemesmetadata managementontology managementsemantic enrichmentknowledge organization strategiesVocBenchTopQuadrantPoolPartyRDFLibtriple storesdata integrationgovernance bodiesnext-generation architecture
ontologiestaxonomiesknowledge graphssemantic artefactstopical/indexed querysearchasset discoverylinked metadata schemessemantic visionsemantic roadmapnext-generation architectureknowledge organization strategiesmetadata managementontology managementsemantic enrichmentmetadata management toolsontology management toolssemantic web technologies (RDFRDFSOWLSPARQL)RDFRDFSOWLSPARQLVocBenchTopQuadrantPoolPartyRDFLibtriple storesopen-source or commercial semantic toolsdata integration with semantic and knowledge graph technologies
communicate complex technical strategies and concepts to technical and non-technical stakeholders and executivesthought leadershipprioritizationteam leadership and managementstakeholder influencefeasibility planningadvocacy for established semantics and knowledge-based toolsgovernance participation
Industry Energy
Job Function Lead semantic knowledge engineering and knowledge graph architecture
Role Subtype Data Engineer
Tech Domains AI & Machine Learning
Lead Knowledge Engineerknowledge engineeringontologiestaxonomiesknowledge graphssemantic web technologiesRDFRDFSOWLSPARQLVocBenchTopQuadrantPoolPartyRDFLibtriple storessemantic artefactslinked metadata schemesmetadata managementontology managementsemantic enrichmentknowledge organization strategiesdata integrationgovernance bodiessemantic visionnext-generation architecture

5+ years of experience with taxonomy and ontology development, Must have semantic web technologies experience (RDF, RDFS, OWL, SPARQL), Must have experience with open-source or commercial semantic tools (VocBench, TopQuadrant, PoolParty, RDFLib, triple stores)

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