Req ID:
JR102627 AI Workforce Transformation Lead
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
We are building a forward-looking AI capability within TPG that empowers employees to work smarter, faster, and more creatively. Our team connects strategy to real-world application, helping people adopt AI in meaningful ways that improve productivity and unlock innovation. Join us as we shape how AI transforms everyday work!
The AI Workforce Transformation Lead plays a key role in bringing TPG’s AI strategy to life. This position leads upskilling efforts that help employees confidently use AI tools in their daily work. You will partner closely with business leaders and technical teams to design practical learning experiences that link directly to real workflows, driving measurable impact across the organization.
Responsibilities
- Lead the TPG AI Upskilling Pillar, aligning priorities, stakeholders, and execution to build workforce capability and support innovation and productivity outcomes
- Define and implement function-based upskilling strategies aligned to TPG AI priorities and business needs
- Develop and maintain AI learning pathways, foundational through advanced, tied to real use cases
- Partner with TPG AI pillar teams and subject matter experts to embed AI learning into daily work, enabling employees to improve workflows and explore new approaches to engineering and problem solving
- Collaborate with stakeholders to identify skill gaps and align learning solutions to evolving AI capabilities
- Analyze and report on AI proficiency, adoption, and usage, including data extraction, visualization, and recurring updates
- Ensure alignment with approved platforms, tools, and enterprise guidelines
Basic Qualifications
- Bachelor's degree in Artificial Intelligence, Data Science, Computer Science or a related field
- 3+ years of experience in digital/AI transformation, learning strategy or organizational capability initiatives
- Strong analytical skills with experience in data extraction, reporting, and visualization tools
- Proficiency with AI enterprise tools such as Claude Code, Microsoft Copilot, AWS, Azure, GCP or similar platforms
Preferred Qualifications
- Experience leading AI upskilling or digital adoption programs in large technology or manufacturing environments
- Familiarity with AI tools, large language models, and enterprise AI adoption practices
- Knowledge of change management or continuous improvement methodologies such as ADKAR, Kotter, Lean, or Six Sigma
- Hands-on experience with prompt engineering, AI agents, or workflow integration
- Experience with learning pathway design, competency frameworks, or skills gap analysis
Job Profile(s):
WF Development Specialist 4 - Project/Program Manager P4
Relocation Level: TBD
Before Getting Started
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As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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