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Central Planning Modeling Engineer

Micron Technology
1 day ago
On-site
Boise, ID, United States
Indeed

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. As a Central Planning Modeling Engineer , you will serve as a key partner across Micron's global manufacturing network, driving capacity modeling, capital planning, and operational optimization initiatives. In this role, you will evaluate and communicate the capital and operational impacts of process and supply chain changes to senior leaders across Manufacturing, Engineering, Finance, Procurement, and R&D. You will demonstrate data analytics, modeling, and AI-driven approaches to optimize network capacity, improve capital deployment decisions, and find opportunities to enhance manufacturing efficiency. Success in this role requires strong analytical skills, attention to detail, and the ability to influence team members in a multifaceted and evolving environment! Responsibilities Develop and maintain network utilization strategies and benchmark performance metrics to optimize capital deployment across Micron's manufacturing network. Assess and communicate the capacity, capital, and operational impacts of process, technology, and supply chain changes. Lead tool-level and site-level capacity optimization studies to improve throughput and equipment utilization. Partner with Manufacturing, Engineering, Supply Chain, Finance, Procurement, and R&D teams to evaluate future process and equipment roadmaps. Create and implement improvement plans while effectively communicating recommendations to team members at all levels of the organization. Apply advanced analytics and AI-driven solutions to strengthen capital investment decisions by: Optimizing financial performance metrics Improving manufacturing flexibility Enhancing capacity sharing across sites Identifying equipment repurposing opportunities before new capital investments Analyze complex and ambiguous business challenges and translate them into structured solutions and actionable recommendations. Identify inconsistencies, risks, and opportunities within planning assumptions and drive resolution with multi-functional team members. Develop innovative tools, models, and reporting solutions to improve planning accuracy, speed, and decision-making across the manufacturing network. Required Qualifications Bachelor's degree in Engineering, Computer Science, Supply Chain, Operations Research, Finance, Economics, Business Analytics, or a related quantitative field. Strong analytical and problem-solving skills with experience transforming complex and ambiguous challenges into structured solutions. 5+ years experience analyzing large datasets, drawing business insights, and communicating recommendations to both technical and non-technical audiences. Demonstrated ability to work independently while managing multiple priorities in a rapidly changing environment. 5+ years experience building and maintaining strong multi-functional partnerships across diverse organizations. Excellent communication, presentation, and partner management skills. Proficiency with data analysis, modeling, and decision-support tools. Preferred Qualifications Master's degree or MBA. Experience in semiconductor manufacturing, capacity planning, operations planning, or process optimization. Experience with capital planning, business analysis, operational modeling, or manufacturing analytics. Knowledge of AI, machine learning, optimization techniques, or digital transformation initiatives. Experience developing analytical tools and automation solutions that drive operational efficiencies. Experience and/or interest in developing Agentic AI workflows into current or future processes . As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are d…

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