IT Director – AI Enablement

Enterprise Holdings•Clayton, MO

1d•Hybrid

About The Position

Enterprise Mobility is a leading provider of mobility solutions, owning and operating the Enterprise Rent-A-Car, National Car Rental and Alamo Rent A Car brands through its integrated global network of independent regional subsidiaries. Enterprise Mobility and its affiliates offer extensive car rental, carsharing, truck rental, fleet management, retail car sales, as well as travel management and other transportation services, to make travel easier and more convenient for customers. Privately held by the Taylor family of St. Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a diverse fleet of 2.4 million vehicles and accounted for nearly $39 billion in revenue through a network of more than 9,500 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories. At the center of it all, our dedicated IT teams innovate, design and develop the technology that is redefining how customers rent, buy and share vehicles from our family of brands. Here, you will be part of a diverse and talented team that creates and delivers powerful technology solutions for our customers and employees across the world with the resources and support to develop in a variety of career paths. As an Enterprise Mobility team member, we offer an excellent package with market-competitive pay, comprehensive healthcare packages, 401k matching & profit sharing, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential. This position is eligible for a hybrid work schedule, which is the ability to work from home, while also requiring to be in person as needed at our Lakeside and/or Clayton Corporate HQ campus locations in St. Louis, Missouri.

Requirements

Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
Must reside in St. Louis, Missouri, or immediate surrounding area
10+ years of relevant leadership experience in AI, data, automation, digital transformation, or related disciplines.
5+ years of experience leading large-scale technology transformation initiatives.
Experience leading the design, deployment, and scaling of enterprise AI solutions and large technical integrations.
Demonstrated success developing technology strategies and translating AI capabilities into measurable business outcomes.
Deep understanding of AI's impact on work, leadership, adoption, trust, governance, and ethical decision-making.
Strong business and financial acumen with experience managing investments, budgets, resource planning, and value realization.
Proven ability to influence executive stakeholders and lead cross-functional initiatives.
Commitment to incorporating security, privacy, compliance, and responsible AI principles into all technology decisions and solutions.

Nice To Haves

Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Business Administration, or a related field.
Experience establishing AI governance programs, Centers of Excellence, or enterprise AI transformation initiatives.
Experience with modern AI platforms, cloud ecosystems, generative AI, agentic AI, and enterprise data platforms, specifically the Microsoft Copilot suite of products.
Experience leading AI adoption, organizational change management, and workforce enablement programs.

Responsibilities

Define and evolve Enterprise Mobility's AI strategy, operating model, and investment priorities. Establish decision-making frameworks that guide how AI opportunities are evaluated, prioritized, and scaled across the enterprise.
Establish and mature the AI Center of Excellence as the enterprise resource for AI standards, best practices, governance coordination, and organizational enablement. Create scalable frameworks that help business teams evaluate, prioritize, and apply AI capabilities in support of business objectives.
Drive enterprise AI literacy, workforce readiness, and adoption efforts. Help business teams identify high-value use cases and successfully incorporate AI into business processes while fostering a culture of learning, experimentation, and innovation.
Partner with Security, Legal, Compliance, Risk, Data & Analytics, and Architecture leaders to establish policies and guardrails that support responsible, secure, and compliant use of AI.
Build strong partnerships across business functions, Product organizations, Architecture, Engineering, Data & Analytics, and external technology partners. Lead through influence to align priorities, shape investments, and help business teams successfully incorporate AI capabilities into their strategies and operations.
Develop and inspire future leaders, AI champions, and practitioners across the organization. Foster a culture of innovation, continuous learning, and knowledge sharing while helping build the capabilities needed to support long-term AI success.