AI Workforce Transformation Lead

Micron Technology; Boise (ID); On-site; USD 90,000 - 120,000; Full time

Job summary

Micron Technology, Inc is seeking an AI Workforce Transformation Lead in Boise, Idaho. You will drive workforce capability, aligning stakeholders and building strategies to foster innovation.

The ideal candidate has a Bachelor's in a relevant field and 3+ years in digital transformation. Strong analytical and AI tool proficiency is essential, along with experience in learning strategy. Join us to help empower employees and enhance productivity across teams.

Qualifications

• 3+ years of experience in digital/AI transformation, learning strategy or organizational capability.
• Strong proficiency in data extraction and reporting.
• Experience with change management or continuous improvement methodologies.

Responsibilities

• Lead AI Upskilling Pillar and align with business needs.
• Develop AI learning pathways tied to real use cases.
• Analyze and report on AI proficiency and adoption.

Skills

Analytical skills

AI enterprise tools (e.g. Claude Code, Microsoft Copilot)

Education

Bachelor's degree in Artificial Intelligence, Data Science, Computer Science or related field

Tools

Data visualization tools

AI platforms (AWS, Azure, GCP)

Job description

AI Workforce Transformation Lead – Req ID: JR102627

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.

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

Relocation Level: TBD

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.