GE Vernova’s Gas Power Data Science organization is building an enterprise ontology and knowledge graph capability to give AI agents, GenAI applications, and advanced analytics a shared, governed representation of the business. We’re looking for a Senior Ontology & Knowledge Graph modeling to own the ontology and knowledge graph strategy across all of Gas Power including services, engineering, and commercial domains, ensuring they interoperate as one coherent semantic layer rather than a set of individually correct but disconnected models. You’ll build the semantic “connective tissue” that lets Gas Power derive intelligence from its industrial data, leading the shift from traditional data management to an AI-ready semantic ecosystem that enables advanced diagnostics, predictive maintenance, and strategic decision-making.
This is a program level role. You remain technically hands on enough to build and debug models when it matters, but your time is weighted toward setting modeling standards, resolving cross-domain conflicts, and acting as the final technical authority on ontology. You own how the organization scales its model-building capability training approach, and delivery process for contractors, FDEs (Forward Deployed Engineers), and SMEs across the entire program, and you are accountable for the organization’s overall ontology capability, not just the output of any single domain.
You will define and own the semantic model governance framework end to end, versioning policy, lifecycle, access model, and how governance holds up as adoption scales, and you will own the platform selection decision and long-term roadmap.