**The Role**

The Vice President, AI Knowledge Engineering will lead the design and delivery of the knowledge substrate on which every AI product in the enterprise depends — the ontologies that define our entities, the graph that connects them, the metadata that makes them discoverable, and the interfaces that make them safely accessible to agents. This is a build-and-transform mandate within the office of the SVP, AI & Engineering, with full ownership of the architecture and a multi-year horizon to get it right.

**Your Day-to-Day**

+ Enterprise Ontology & Semantic Layer: Define and govern the shared vocabulary of the enterprise — so every system, every model, and every agent shares one definition of guest, property, stay, and transaction. This is the foundational artefact of knowledge engineering.
+ Connected Knowledge Graph: Move from rows-and-tables to a relationship-first intelligence layer that links guest signals, property attributes, loyalty behavior...