Opportunity Description
**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...
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...
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