About the role
Lead cycle‑time and operational excellence initiatives across Micron's global manufacturing network, designing metrics, standardizing processes, and driving data‑based improvements in backend and front‑end semiconductor fabs.
IDMOnsiteAssembly & Test
Key Responsibilities
- Design, develop, and maintain cycle time metrics, reports, tools, enablers, and methodologies to enable accurate performance measurement and effective improvement of actions.
- Drive network standardization of metrics, measurement scope and definitions, methodologies, business processes, and modeling to ensure consistent adoption across backend manufacturing sites.
- Establish and support cycle time targets aligned with Micron Best‑in‑Class objectives; lead or support Tier 1 Cycle Time sub‑programs as a subject‑matter expert.
- Identify performance gaps, risks, and improvement opportunities using descriptive, predictive, and statistical analysis techniques, and translate findings into structured improvement projects.
- Lead and manage a portfolio of cycle time improvement initiatives aligned with strategic priorities, working with cross‑site and cross‑functional teams to ensure execution and results.
- Develop and deliver training sessions, workshops, and coaching to improve site‑level capability and maturity in cycle time management.
Requirements
- Bachelor's Degree in Engineering or related field.
- At least 5 years of recent semiconductor experience with strong understanding of backend (assembly, test, module/SSD) or front‑end manufacturing processes, including system and physical automation, equipment efficiency methodologies, NPI and HVM cycle time, capacity and labor planning, lean manufacturing, value‑stream mapping, and backend business processes and reporting structures.
- Proficiency in data analysis and visualization tools such as Tableau, Power BI, and Excel, with solid understanding of statistics to support business and operational decisions.
- Working knowledge of SQL or Python to analyze data, automate analysis, and support data‑driven solutions (preferred).
- Foundational understanding of AI and machine learning concepts, including AI agents (preferred).
- Curious, analytical mindset with willingness to learn new tools and techniques.