AI-Driven Cost Solutions Product Owner

Micron Technology, Inc.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Micron Technology, Inc. is seeking a Staff Product Owner for Cost Solutions within Smart Manufacturing & AI.

This role leads AI-enabled cost transformations across procurement and manufacturing, owning the product backlog and roadmap, and partnering with data scientists and engineers to deliver measurable savings. You will shape and deliver AI/Generative AI use cases across spend intelligence, supplier intelligence and contract analytics, driving value through rigorous measurement and

Qualifications

• 5–10 years in cost projects within operations/procurement.
• Experience with AI/Generative AI in cost and procurement is required.
• Exposure to semiconductor industry is preferred.
• Strong ability to lead and present to varied audiences.

Responsibilities

• Own the product backlog and roadmap for AI-enabled cost solutions.
• Drive cost transformation initiatives across procurement and manufacturing.
• Partner with data scientists, engineers and business partners.
• Define requirements, prioritise features, and ensure measurable value.
• Establish before/after measurement frameworks for cost and productivity.
• Pilot and scale AI/Generative AI use cases embedded in workflows.

Skills

Cost transformation

AI & Generative AI

Procurement

Data analytics

Stakeholder leadership

Cross-functional leadership

Strategic thinking

Communication

Education

Bachelor's degree or above in a relevant field

Tools

AI/Analytics tools

Job description

Micron Technology, Inc. is seeking a Staff Product Owner for Cost Solutions within Smart Manufacturing & AI.

This role leads AI-enabled cost transformations across procurement and manufacturing, owning the product backlog and roadmap, and partnering with data scientists and engineers to deliver measurable savings. You will shape and deliver AI/Generative AI use cases across spend intelligence, supplier intelligence and contract analytics, driving value through rigorous measurement and