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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Enterprise AI - **Company:** Boyne Resorts - **Location:** Petoskey, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Infrastructure, Machine Learning, Large Language Models - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1023f615ea0bf3d3 ## About the Role * 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. ## Description 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How to Turn Community Events Into a Powerful AI GTM Engine: The Daytona Playbook](https://www.wearedevelopers.com/magazine/732-how-to-turn-community-events-into-a-powerful-ai-gtm-engine-the-daytona-playbook) - [Got AI ideas but no money? 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