Director, AI Literacy & Adoption

The Director, AI Literacy & Adoption leads the enterprise strategy for building AI literacy and driving the adoption of AI-enabled tools and new ways of working across the organization. As a member of the AI leadership team reporting directly to the Chief AI Officer, this leader partners with executives, business leaders, IT, Data & Analytics, HR, Legal, Communications, and Learning & Development to ensure employees at every level understand how to use AI effectively and responsibly. The Director owns the enterprise AI literacy and adoption roadmap and the AI Literacy & Adoption pillar of the AI strategy, sets the approach for the people side of change on major AI initiatives, and builds the leadership and workforce capability needed to realize business value from AI at scale. The Director leads a team of communication, change management and training professionals and delivers results through that team, executive sponsors, and business leaders. Success in this role is measured by enterprise AI literacy and proficiency, employee adoption, leader readiness, sustained behavior change, and realization of business value.

Responsibilities

Set and own the enterprise AI literacy strategy, including a competency framework and role-based learning pathways; Partner with Learning & Development and direct the team's training professionals to design, curate, and scale learning solutions; Establish literacy baselines and direct the measurement of progress through assessments, skills data, and usage insights; Build AI fluency among executives and people leaders and advise senior leaders on how to model effective use and coach their teams; Embed responsible AI principles into all literacy and enablement content in partnership with Legal, Cybersecurity, Compliance, and AI governance bodies; Set and execute the enterprise AI adoption roadmap, aligned to business strategy and AI investment priorities; Set the change management strategy for enterprise AI initiatives and direct the team's execution; Build and scale adoption models, including change champion networks, pilot groups, office hours, and user communities; Identify adoption risks and resistance, direct mitigation strategies, and escalate to the Head of AI, executive sponsors, and governance forums as appropriate; Ensure change management and adoption activities are integrated into project plans, governance, and implementation timelines; Sustain adoption after launch through reinforcement, feedback loops, and continuous optimization; Serve as a trusted advisor to the Chief AI Officer, executives, and senior leaders on AI readiness, adoption, and workforce implications; Prepare and coach executive sponsors and leaders to visibly champion AI; Build strong partnerships with business leaders, IT, Data & Analytics, HR, Legal, Communications, and Learning & Development; Partner with Communications to shape and deliver the enterprise narrative on AI adoption and literacy; Represent AI adoption and literacy on AI steering committees and governance forums and shape AI policy and responsible use standards; Define the KPIs and dashboards used to track AI literacy, adoption, proficiency, employee sentiment, and business value; Use usage data, surveys, and employee feedback to identify gaps, prioritize actions, and recommend improvements; Prepare executive updates that summarize adoption progress, risks, and value realized; Partner with business and finance leaders to quantify and report the benefits of AI adoption; Build, lead, and develop a team of change management and training professionals and direct the work of external partners and contractors; Own the AI Literacy & Adoption portfolio, including priorities, resourcing, budget, and timelines; Establish enterprise standards, templates, playbooks, and toolkits for change management, communication, and AI enablement; Monitor emerging AI technologies, regulations, and industry practices and bring external benchmarks to evolve the enterprise strategy; Strengthen change management and AI adoption capability across the enterprise

Requirements

Bachelor's degree in Business, Human Resources, Organizational Development, Communications, Psychology, Information Systems, or a related field; 10+ years of progressive experience in change management, organizational effectiveness, learning and enablement, communications, digital transformation, or technology adoption, including 7+ years leading teams; Demonstrated experience leading enterprise-scale change, technology adoption, or workforce capability programs in a large, complex organization; Proven track record of designing and delivering enterprise-scale enablement, literacy, or change programs that produced measurable gains in adoption, proficiency, or business outcomes; Experience advising and influencing executives and senior leaders, with strong executive presence; Experience building, leading, and developing teams, and leading through influence in a matrixed environment, including managing external partners; Hands-on experience with enterprise AI tools such as Microsoft Copilot or Claude, and the ability to coach others in effective use; Working knowledge of responsible AI, data privacy, and AI governance principles, with the ability to explain them to non-technical audiences; Strong strategic thinking, analytical, and problem-solving skills, including using data to measure adoption and value and managing a portfolio of concurrent initiatives and budgets; Excellent written, verbal, and facilitation skills; Demonstrated curiosity and commitment to continuously learning emerging AI technologies and business applications; Proficiency with Microsoft 365 applications, including Teams, PowerPoint, Excel, and Word; Ability to travel within the U.S. footprint

Nice to have

Experience leading AI adoption or AI literacy initiatives, or comparable adoption of emerging technology, at enterprise scale; Master's degree (for example, an MBA or a degree in Organizational Development or a related field); Experience driving adoption across diverse workforces, including operations, frontline, and represented employees; Certification or advanced practice in change management methodologies such as Prosci, ADKAR, or Kotter; Experience establishing or participating in enterprise AI governance or responsible AI frameworks; Experience with skills assessment, learning analytics, or digital adoption measurement; Knowledge of Agile, Waterfall, or hybrid project methodologies