Director AI & Innovation
Job Location:
Orlando, FL - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Department:
Job Summary
WORK FOR A WINNING TEAM THAT NOW OFFERS BENEFITS FROM DAY ONE
At Hilton Grand Vacations you will become a part of a culture that encourages and motivates you toward achieving your goals.
Heres why you will love it here:
- Recognition Programs and Rewards
- Excellent health care options including medical dental and vision
- A people-first culture
- Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
- Perks at work: Employee Pricing platform
- Employee Assistance Program that supports your physical and mental well-being.
- Paid Vacation Time and Paid Sick Days
- 401(k) program with company match
- Tuition reimbursement programs
- Numerous learning and advancement opportunities
- And more!
What Will I be Doing
HGV is looking for a senior AI and Innovation leader who turns AI from a portfolio of projects into a governed scalable enterprise capability while providing deep hands-on technical leadership across applied AI software engineering cloud infrastructure data platforms and production deployment. This leader owns innovations research strategy platform direction operating model governance talent vendor strategy and delivery execution with a strong emphasis on practical engineering judgment and measurable business outcomes.
This is intentionally a hands-on technical leadership role: expected to guide architecture reviews evaluate emerging AI capabilities shape platform and infrastructure decisions lead technical experimentation and prototyping challenge vendors and internal teams on implementation tradeoffs and ensure promising AI concepts/innovations move from feasibility and proof of concept into secure reliable observable and supportable production solutions.
Responsibilities
Define and execute enterprise AI strategy and the multi-year roadmap; align AI investment with business outcomes and ROI; own the AI capital program including intake prioritization lifecycle governance and value measurement.
Provide hands-on technical leadership across applied AI software engineering APIs data systems cloud infrastructure AI platforms MLOps/LLMOps deployment pipelines testing observability reliability security and production support models.
Lead evaluation research and rapid prototyping of emerging AI capabilities including generative AI agentic systems machine learning retrieval-based systems intelligent automation and other evolving technologies; assess feasibility business value operational risk and production readiness.
Work within and improve a disciplined research-to-production lifecycle that moves concepts through feasibility assessment proof of concept prototype pilot production deployment measurement and continuous improvement.
Set standards for models agents inference platforms MLOps/LLMOps prompt and retrieval quality benchmarking model evaluation latency reliability explainability cost management security and responsible AI practices.
Drive technical architecture decisions across cloud data AI infrastructure model-access patterns integration approaches and deployment environments; make build-vs-buy recommendations grounded in technical evaluation vendor due diligence cost risk and long-term maintainability.
Deliver with AI governance team that includes setting standards cost and platform foundation: model approval risk audit compliance standards data protection monitoring and operational controls. Partner with Legal Security Risk Privacy and Data Governance to embed responsible AI practices across programs.
Guide teams and stakeholders in determining when business problems are best solved through generative AI predictive ML rules/workflow automation analytics improved data foundations or process redesign.
Own portfolio prioritization and delivery frameworks establish operating cadence track adoption and business value and remove organizational barriers to AI adoption.
Build and lead AI Engineering and Applied AI capabilities plus contractor/vendor pods; define hiring strategy technical standards career frameworks and AI literacy programs across the organization.
Act as the primary AI advisor to executive leadership: communicate opportunity risk technical tradeoffs investment needs delivery implications and business cases in clear evidence-based terms.
Qualifications
To fulfill this role successfully you must possess the following minimum qualifications and experience:
- 10 years of engineering leadership including proven delivery of production AIsystems and managing cross-functional organizations
- Strong knowledge of cloud (Azure Databricks) AI architecture security and data platforms
- Strong commercial budgeting and vendor-management skills; demonstrated ability to drive organizational change.
- BA/BS/Bachelors Degree
- Experience in hospitality travel or another high-volume real-time pricing/inventory business. Experience with agentic AI platforms knowledge graphs orconversational AI in production
- Familiar with the Patent Process from concept to actual patent submissions. This includes realization of a novel idea
MS/MA/Masters Degree/Ph.D.
Required Experience:
Director
About Company
Hilton Grand Vacations offers career opportunities with great benefits, like highly discounted hotel stays. Learn more.
