Director - AI Literacy
United States Steel
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.
AI Literacy & Capability Building
- 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 the team's training professionals, to design, curate, and scale learning solutions, such as foundational courses, hands-on workshops, microlearning, and communities of practice.
- Establish literacy baselines and direct the measurement of progress through assessments, skills data, and usage insights to target interventions where gaps are greatest.
- Build AI fluency among executives and people leaders so they can model effective use and coach their teams, and advise senior leaders directly on how to do so.
- Embed responsible AI principles, including data privacy, security, appropriate use, and human oversight, 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, including organizational impact and readiness assessments, stakeholder engagement, leader enablement, and reinforcement plans, and direct the team's execution.
- Build and scale adoption models, including change champion networks, pilot groups, office hours, and user communities, that move AI use cases from pilot to sustained enterprise adoption.
- 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 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 strong partnerships with business leaders, IT, Data & Analytics, HR, Legal, Communications, and Learning & Development.
- Partner with Communications, and, 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 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, with clear recommendations.
- 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, expected to grow to approximately 10 as the program scales, and direct the work of external partners and contractors.
- Own the AI Literacy & Adoption portfolio, including priorities, resourcing, budget, and timelines across multiple concurrent initiatives.
- Establish enterprise standards, templates, playbooks, and toolkits for change management, communication, and AI enablement, and ensure the team applies them consistently.
- 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.
- Strategic leadership: Sets a clear enterprise vision for AI literacy and adoption, translates it into a prioritized roadmap, and aligns it with business strategy.
- Change leadership: Anticipates resistance, builds commitment across levels, and sustains new behaviors well beyond launch.
- Executive influence: Earns trust with senior leaders, advises with confidence, and moves decisions forward across competing priorities.
- AI and digital fluency: Understands what current AI tools can and cannot do, uses them in daily work, and explains them clearly to non-technical audiences.
- Responsible AI judgment: Applies sound judgment on data privacy, security, and appropriate use, and partners effectively with Legal, Cybersecurity, and Compliance.
- Learning and capability building: Designs scalable, role-based learning that builds real skills and confidence across diverse employee groups.
- Data-driven decision making: Uses adoption, usage, and sentiment data to diagnose gaps, target interventions, and demonstrate value.
- Collaboration and influence without authority: Builds strong partnerships and leads through influence across a matrixed organization.
- People leadership: Builds, coaches, and develops a high-performing team of communication, change management, and training professionals, and manages external partners effectively.
- Communication and facilitation: Communicates with clarity and credibility in writing, in presentations, and in facilitated sessions at every level of the organization.
Required
- 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 (for example, across multiple business units or sites and thousands of employees). AI-specific experience is not required; comparable transformations, such as new enterprise platforms, digital workplace rollouts, or major process changes, are directly relevant.
- 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.
- 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.