Vice President, Enterprise AI

Boyne Resorts

$150K — $180K *
Hospitality & Recreation
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required; advanced degree or relevant certification preferred.
  • 10+ years in technology leadership, especially AI and digital transformation.
  • Proven ability to drive enterprise-wide technology changes at scale.
  • Understanding of large language models and AI governance; IT-savvy without ML engineering.
  • Strong change-management experience and executive communication skills.
  • Experience in vendor management and financial analysis; hospitality or multi-unit retail preferred.

Responsibilities

  • Own and execute the enterprise AI strategy and multi-year roadmap.
  • Drive measurable AI adoption across corporate functions and resort locations.
  • Build and manage a network of AI champions while enabling organization-wide fluency.
  • Establish metrics to track AI adoption, productivity, and value.
  • Ensure governance of AI initiatives in collaboration with steering committees.
  • Collaborate with Security, Legal, and HR on responsible AI practices and vendor relations.
  • Identify high-ROI AI opportunities and lead customer-facing initiatives.

Benefits

  • Health, dental, and vision insurance programs
  • Flexible spending account programs
  • Life insurance programs
  • Paid time off and paid leave programs
  • 401(k) savings plan
  • Employee ski pass and dependent ski passes
  • Other company perks
Full Job Description
Overview

Position Summary

The Vice President, Enterprise AI leads the responsible, high-value adoption of artificial intelligence across all Boyne Resorts corporate functions and resort properties - converting AI from isolated experimentation into a durable, measurable enterprise capability. This is a lean, matrixed leadership role: the VP operates the AI Center of Excellence, partners with resort IT and function leaders, cultivates a federated network of AI champions, and serves as the operational engine of the AI Steering Committee, translating executive strategy into adoption, value, and disciplined governance.

The role's scope expands in phases - beginning with internal adoption and productivity across corporate and all resort properties, then extending into guest- and customer-facing AI (personalization, marketing, revenue optimization) as the function matures. Ownership of the underlying data platform and ML engineering build remains with IT/Data; this role sets direction and drives adoption of the capabilities built on top of it.

Responsibilities

What You'll Do

Strategy & Roadmap
  • Own the enterprise AI strategy and multi-year roadmap in service of the AI Steering Committee, maintaining a prioritized portfolio of use cases and an enterprise view of AI investment, ROI, and total cost of ownership.

Adoption & Enablement
  • Drive and measure AI adoption across corporate functions and all resort properties, operating the AI Center of Excellence and Skills Registry as the enterprise hub for reusable capability.
  • Build and lead a federated network of AI champions, and own enablement - training, playbooks, prompt libraries, and use-case showcases - that build organization-wide AI fluency.
  • Define and track adoption and value metrics, including active usage, use cases in production, realized productivity, and sentiment.

Governance, Risk & Responsible AI
  • Operate day-to-day AI governance under the AI Steering Committee and IT Steering Committee frameworks, stewarding model-selection, seat-lifecycle, spend, and use-case intake standards.
  • Partner with Security, Legal, and HR on responsible-AI principles, data protection, and acceptable use, and own vendor relationships and cost optimization across AI providers.

Value Delivery, Partnership & Leadership
  • Partner with function and resort leaders to surface and capture high-ROI opportunities, and lead phased guest/customer-facing AI initiatives with the CMO and COO.
  • Lead through influence across a matrixed, multi-property organization, building coalitions between corporate and the field and communicating adoption, value, and risk to the AI Steering Committee, CEO, and ownership/board in business terms.

Qualifications

What We're Looking For
  • Bachelor's degree required; an advanced degree or relevant certification (e.g., enterprise architecture, change management, AI governance) is a plus.
  • 10+ years of progressive technology, digital, or transformation leadership, including several years in AI, data, or enterprise digital transformation.
  • A demonstrated track record driving enterprise-wide technology adoption and change at scale, ideally across a multi-site or distributed-workforce organization.
  • Fluency in large language models, the enterprise AI vendor landscape, and AI risk/governance - credible with IT without needing to be a hands-on ML engineer.
  • Formal change-management experience and the executive presence to communicate adoption, value, and risk to senior leadership, ownership, and the board.
  • Strong vendor-management and financial acumen (ROI, TCO, license optimization); hospitality, multi-unit retail, or distributed-workforce experience preferred.

Job Benefits

This position is regular full-time and eligible for:
  • Health, dental, and vision insurance programs
  • Flexible spending account programs
  • Life insurance programs
  • Paid time off and paid leave programs
  • 401(k) savings plan
  • Employee ski pass and dependent ski passes
  • Other company perks

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