About the role
AI summarisedAs a Global AT Operations Excellence (AT OE) Space Efficiency Senior Engineer at Micron Technology, you will drive network-wide Space Efficiency performance by embedding an Operations Excellence mindset across the Backend Manufacturing organization. This role involves leading cycle time improvement projects, standardizing methodologies across manufacturing sites, and translating advanced data analytics into actionable initiatives.
IDMOnsiteAssembly & Test
Key Responsibilities
- Design, develop, and maintain cycle time metrics, reports, tools, enablers, and methodologies for accurate performance measurement.
- Drive network standardization of metrics, measurement scope, definitions, and business processes across backend manufacturing sites.
- Establish and support cycle time targets aligned with Micron Best in Class objectives, leading 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.
- Lead and manage a portfolio of cycle time improvement initiatives with cross-site and cross-functional teams.
- Develop and deliver training sessions, workshops, and coaching to enhance site-level capability in cycle time management.
- Partner with Site and Central Operations & Engineering teams to gather, analyze, and interpret operational excellence data.
- Facilitate Best Known Method (BKM) sharing and lead regular cycle time performance review meetings with key stakeholders.
Requirements
- Bachelor's Degree in Engineering or a related field.
- At least 5 years of recent semiconductor experience with deep understanding of Backend (Assy, Test, Module/SSD) or Front-End manufacturing processes.
- Proficiency in data analysis and visualization tools such as Tableau, Power BI, and Excel.
- Solid understanding of statistics to support business and operational decisions.
- Strong written and verbal communication skills with the ability to influence cross-functional stakeholders.
- Practical knowledge of statistics, data analysis, and structured problem-solving methodologies.
- Ability to independently utilize existing tools and templates to address complex situations with minimal guidance.
