AI Academy Program Lead

Bridgestone Americas, Inc. (BSAM) and Bridgestone Europe, Middle East and Africa (BSEMEA) operate collectively as the “Bridgestone West” strategic region, serving teams across the Americas, Europe, the Middle East, and Africa. Subsidiaries of Bridgestone Corporation, they develop, manufacture, and market Bridgestone, Firestone, and associate brand products and solutions for a broad range of customers and industries.

About the role

The AI Academy Program Lead will build and lead an enterprise AI learning strategy to develop an AI-fluent workforce. This role designs, launches, and continuously improves a scalable AI literacy program, enabling teammates to confidently, responsibly, and ethically integrate artificial intelligence into daily work. The position transforms the workforce into a competitive engine of innovation, speed, and precision through practical enablement, governance alignment, and measurable business impact.

Responsibilities

• Define and lead the enterprise AI literacy and AI academy strategy aligned to business priorities, workforce needs, and responsible AI principles.
• Build a multi-level AI learning curriculum for broad employee populations, people leaders, functional teams, and specialized power users.
• Develop learning pathways covering foundational AI concepts, prompt writing, use-case identification, workflow redesign, responsible AI, data privacy, security, governance, and change adoption.
• Partner with business leaders, HR, Legal, Compliance, IT, Information Security, Data & AI, and Communications to ensure training content is practical, compliant, and aligned to enterprise standards.
• Create and manage an AI academy operational model, including course catalog, learning journeys, certification/badging, office hours, communities of practice, and train-the-trainer programs.
• Translate complex AI concepts into simple, engaging, business-relevant learning experiences for technical and non-technical audiences.
• Identify high-value use cases and embed role-based enablement that helps teams apply AI tools in daily operations.
• Establish standards for responsible and ethical AI usage, including guidance on human oversight, bias awareness, privacy, security, intellectual property, and acceptable use.
• Drive adoption of approved AI tools by creating practical playbooks, templates, examples, and internal communications.
• Measure program effectiveness through participation, proficiency, adoption, behavior change, productivity gains, and business outcomes.
• Monitor external AI trends, learning practices, and emerging risks to keep curriculum current and relevant.
• Build executive-facing updates, dashboards, and recommendations that communicate progress, risks, and opportunities.
• Lead or support pilots, workshops, and capability-building sessions that accelerate AI maturity across functions.

Qualifications

Minimum Qualifications

• Bachelor’s degree in Learning & Development, Education, Organizational Development, Business, Technology, Data/Analytics, or a related field, or equivalent practical experience.
• 7+ years of experience in learning strategy, workforce enablement, capability building, change management, digital transformation, or a related field.
• Experience designing and scaling enterprise learning programs for broad and diverse audiences.
• Strong understanding of generative AI, AI literacy, and practical business applications of AI.
• Demonstrated ability to translate technical topics into accessible learning content for non-technical audiences.
• Experience partnering across HR, business functions, technology, legal/compliance, and communications.
• Strong program management, stakeholder management, and executive communication skills.
• Experience with responsible AI topics such as ethics, bias, privacy, governance, and risk awareness.

Preferred Qualifications

• Master’s degree in a relevant field.
• Experience launching AI enablement, digital upskilling, or enterprise academy programs.
• Familiarity with adult learning principles, instructional design, and learning technologies/LMS platforms.
• Experience in a large, matrixed organization.
• Experience creating role-based learning journeys and measurable capability frameworks.
• Relevant certifications in AI, learning design, change management, or project/program management.

Success Measures

• Increased AI literacy across teammate populations.
• Higher adoption of approved AI tools and workflows.
• Improved teammates’ confidence in using AI responsibly.
• Measurable productivity, quality, or cycle-time improvement tied to AI-enabled work.
• Strong alignment with governance, privacy, security, and compliance requirements.
• Positive learner feedback and sustained engagement with the AI academy.

Benefits

• A supportive and engaging onboarding experience to ensure a smooth transition into the team.
• Opportunity to develop and grow through training and regular mentorship.
• Corporate Social Responsibility activities.
• A truly global, dynamic, and challenging work environment.
• Agility and work/life effectiveness, with a focus on long-term well-being.
• An effective and inclusive team.
• Competitive compensation.