Director - AI Literacy

U. S. Steel•Pittsburgh, PA

About The Position

The Director, AI Literacy & Adoption leads the enterprise strategy for building AI literacy and driving adoption of AI-enabled tools and new ways of working across the organization. As a member of the AI leadership team, the Director reports directly to the Chief AI Officer and partners with executives and leaders across the business, IT, Data & Analytics, HR, Legal, Communications, and Learning & Development. The role owns the enterprise AI literacy and adoption roadmap and the AI Literacy & Adoption pillar of the AI strategy, sets the people-side change approach for major AI initiatives, and builds the leadership and workforce capability needed to realize business value from AI at scale. The Director leads communication, change management, and training professionals, delivering results through the team, executive sponsors, and business leaders. Success is measured by enterprise AI literacy and proficiency, employee adoption, leader readiness, sustained behavior change, and business value realization. The role establishes role-based AI learning pathways and learning solutions, measures literacy progress, embeds responsible AI principles into enablement, and sets and executes the enterprise adoption roadmap. It also advises senior leaders, represents adoption and literacy in governance forums, defines measurement and reporting, owns the portfolio's priorities, resources, budget, and timelines, and continually evolves enterprise practices in response to emerging technology, regulations, and industry benchmarks.

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, such as across multiple business units or sites and thousands of employees.
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 ability to coach others in effective use.
Working knowledge of responsible AI, data privacy, and AI governance principles, with 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 Haves

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.

Responsibilities

Set and own the enterprise AI literacy strategy, including a competency framework and role-based learning pathways for executives, people leaders, knowledge workers, and operations and frontline employees.
Partner with Learning & Development and direct training professionals to design, curate, and scale foundational courses, hands-on workshops, microlearning, and communities of practice.
Establish literacy baselines and direct measurement of progress through assessments, skills data, and usage insights; target interventions where gaps are greatest.
Build AI fluency among executives and people leaders so they can model effective use and coach their teams; advise senior leaders on how to do so.
Embed responsible AI principles—including data privacy, security, appropriate use, and human oversight—in literacy and enablement content with Legal, Cybersecurity, Compliance, and AI governance bodies.
Set and execute the enterprise AI adoption roadmap aligned with business strategy and AI investment priorities.
Set change management strategies for enterprise AI initiatives, including organizational impact and readiness assessments, stakeholder engagement, leader enablement, and reinforcement plans; direct execution by the team.
Build and scale adoption models such as change champion networks, pilot groups, office hours, and user communities to move AI use cases from pilot to sustained enterprise adoption.
Identify adoption risks and resistance, direct mitigation strategies, and escalate issues to the Head of AI, executive sponsors, and governance forums as appropriate.
Integrate change management and adoption activities into project plans, governance, and implementation timelines across the AI portfolio.
Sustain adoption after launch through reinforcement, feedback loops, and continuous optimization to maximize business value.
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 and lead their organizations through change.
Build 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 as a member of the AI leadership team, and shape AI policy and responsible-use standards.
Define KPIs and dashboards 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 summarizing adoption progress, risks, and realized value, with clear recommendations.
Partner with business and finance leaders to quantify and report the benefits of AI adoption.
Build, lead, and develop a change management and training team expected to grow to approximately 10 as the program scales; direct external partners and contractors.
Own the AI Literacy & Adoption portfolio, including priorities, resourcing, budget, and timelines across concurrent initiatives.
Establish enterprise standards, templates, playbooks, and toolkits for change management, communication, and AI enablement, and ensure consistent application.
Monitor emerging AI technologies, regulations, and industry practices; bring external benchmarks to evolve enterprise strategy.
Strengthen change management and AI adoption capability across the enterprise.