Vice President, AI Technology

The Vice President, AI Technology leads the GenAI Studio's core technology strategy and execution-turning hospitality data into secure, scalable AI capabilities that improve guest experience and operational performance. This executive is accountable for delivering enterprise GenAI platform components (e.g., hybrid RAG, knowledge graphs, memory systems, and agent-orchestrated workflows) with rigorous standards for privacy, security, reliability, Responsible AI, and cost governance.

Partnering closely with Data & Analytics and cross-functional technology and business leaders, the VP sets the platform roadmap, establishes LLMOps standards, and leads high-performing engineering teams to deliver measurable outcomes across prioritized use cases.

Key Responsibilities:

* Define and execute the enterprise GenAI technology strategy and roadmap, aligning platform capabilities to business priorities and measurable outcomes.

* Lead delivery of core GenAI platform services (e.g., retrieval/grounding, knowledge foundations, memory patterns, agent orchestration) as reusable capabilities for teams across the enterprise.

* Partner closely with Data & Analytics to ensure AI-ready data foundations-governed access, data quality, lineage/metadata, indexing pipelines, and standardized measurement/telemetry.

* Establish LLMOps and AI quality standards-evaluation frameworks, release gates, monitoring, and lifecycle management for prompts/models to ensure consistent performance.

* Embed security, privacy, Responsible AI, and compliance-by-design through guardrails, risk reviews, auditability, and red-teaming practices across all solutions.

* Own operational excellence and cost governance-reliability/SLOs, incident readiness, performance optimization, model routing/caching, and dashboards that manage latency and spend.

Qualifications

* Significant leadership experience delivering enterprise-grade AI/ML or GenAI systems from strategy through production and scale.

* Proven depth in modern AI architecture patterns (retrieval + grounding, knowledge representations, orchestration) and ability to guide teams delivering secure, reliable systems.

* Demonstrated ownership of governance, security/privacy, and cost management in production AI solutions.

* Strong cross-functional executive influence; ability to align stakeholders across Technology, D&A, Security/Privacy, and business disciplines.

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