Global Front End Planning: Strategic Operations Engineer

Fab & Process Knowledge

Understand wafer process flows and transfer paths for main products while interpreting factory intentions and constraints. Able to apply capacity analysis, production planning, and SNOP business processes to ensure smooth operations.

Scenario Planning & Strategic Operations

• Lead scenario studies across BP horizons, owning scenario baselines and change control to align with the goals of the company.

• Conduct Fab Scenario Optimization with detailed comparisons across various options, including cost, capital, ramp adaptability, inventory strategy, and market share/bit growth.

• Align product roadmap to business requirements while adapting to BP changes and calendar commitments. Coordinate parameter updates with all collaborators, ensuring monthly scenario studies are carefully analyzed and communicated.

Project & Collaborator Management

• Handle complex projects across departments and sites, driving structured onboarding and continuous improvement.

• Facilitate a Lean Manufacturing culture from development through ramp and HVM, aiming to streamline workflows and eliminate manual errors. Communicate effectively with executives, sponsors, and cross-functional teams to present insights that enable decision-making.

Data, Analytics & Automation

• Deliver clear, qualitative, and quantitative analyses such as P&L, return on investment/payback, and NPV to support financial decisions.

• Build automation for recurring tasks and dashboards using Python, Tableau, Power BI, or equivalent tools.

• Apply planning systems within Micron and use advanced features of Microsoft Office for modeling, reporting, and crafting executive materials.

AI Responsibilities: 

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Qualifications

• Bachelor’s degree in Industrial Engineering, Production/Operations Management, Engineering, or equivalent experience.

• Strong understanding of statistics, data analysis, and problem solving; hands-on with scenario/comparison methodologies.

• Intermediate to advanced knowledge of area tool configurations, capabilities, and basic process/mechanical functionality.

• Advanced understanding of Manufacturing Science (scheduling, inventory management, overseeing production capabilities).

• Demonstrated experience with SNOP process and business plan management.

• Excellent verbal/written communication; strong PC skills and data collection/database management; executive-ready presentation abilities.

• Proven collaboration and multi-tasking capability; self-motivated and effective with minimal supervision.

• Strong interpersonal skills; able to collaborate freely and communicate openly with colleagues and management at all levels.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes