Director, AI Enablement & Adoption

Acosta•Lewisville, TX

About The Position

The Director, AI Enablement & Adoption will lead the enterprise enablement strategy that helps Acosta associates, leaders, Business Units, and corporate functions adopt approved AI tools, AI-enabled workflows, agents, copilots, and new Human + AI ways of working. This leader will move AI enablement beyond awareness into role-based behavior change, guided adoption, measurable usage, and business impact. The role supports the AI CoE operating model of central guardrails, federated execution, and portfolio-driven scaling by making sure AI capabilities are understood, trusted, adopted, and embedded into day-to-day work rather than remaining isolated pilots or optional tools.

Requirements

10 or more years of experience in enterprise change management, digital adoption, workforce enablement, learning and development, collaboration technology, transformation, communications, or HR/technology enablement.
5 or more years leading enterprise-scale adoption or enablement programs for digital, AI, automation, collaboration, or productivity platforms.
Experience building practical AI enablement programs, including AI literacy, responsible AI usage guidance, role-based training, live support sessions, office hours, champions networks, and business-facing learning experiences.
Strong practical understanding of GenAI, Microsoft Copilot, Copilot Studio, AI agents, prompt engineering, workflow automation, Power Platform, and enterprise collaboration tools.
Experience translating AI strategy, policy, governance, and approved-tool standards into simple, usable guidance for employees, managers, business teams, and functional leaders.
Ability to partner across Technology, HR, Communications, Legal, Information Security, Data, Risk, business leaders, and program teams to support governed AI adoption and enterprise readiness.
Experience supporting AI or digital use-case intake and enablement processes, including helping business teams frame use cases, understand governance steps, identify approved tools, and move from idea to guided execution.
Experience designing and facilitating hands-on adoption formats such as Build-A-Thons, workshops, live Q&A sessions, peer learning forums, solution accelerators, and business/IT co-creation events.
Ability to measure enablement effectiveness beyond training attendance, including adoption, usage, engagement, confidence, behavior change, productivity impact, and business outcomes.
Strong facilitation, storytelling, executive communication, and stakeholder management skills, with the ability to make AI approachable while reinforcing security, privacy, responsible use, and approved-platform guardrails.

Responsibilities

Design and lead Acosta Group’s enterprise AI enablement and adoption strategy across associates, managers, leaders, Business Units, and corporate functions.
Create role-based AI learning pathways, adoption playbooks, communication materials, guided experiences, office hours, and hands-on programs.
Build and manage an AI champions network that supports federated adoption while maintaining alignment with enterprise standards and governance.
Partner with HR, Communications, Technology, Business Units, Transformation Programs and AI Governance to embed AI into workflows and change plans.
Connect enablement activities to measurable outcomes, including usage, adoption, behavior change, productivity, quality, employee readiness, and business value.
Develop launch and adoption plans for approved AI tools, agents, copilots, reusable solutions, and transformation-program capabilities.
Translate AI strategy, policies, and guardrails into practical guidance that employees can understand and apply in the flow of work.
Coordinate AI learning curriculum, workshops, Build-A-Thons, communities of practice, leadership sessions, and ongoing support channels.
Identify adoption barriers, change risks, training gaps, communication needs, and stakeholder concerns across enterprise AI initiatives.
Create executive-ready adoption reporting and success stories that demonstrate how AI is changing work and producing value.