GQ Ops IE Modeling and Automation Manager

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

As Manager, GQ Ops IE Modeling & Automation, you will lead the transformation of GQ Ops into a more automated, data-driven, and scalable operation. This role owns automation strategy, system enablement, IE modeling, planning tools, and data governance, with a strong focus on reducing manual touchpoints, improving operational reliability, and enabling a future-ready reliability lab operating model.

You will work closely with cross-functional teams—including GQ Ops, Process Engineering, Planning, IE, Central and Site Automation, IT, Facilities, and external partners—to identify high-impact opportunities, translate operational needs into practical solutions, and drive standardized, scalable execution across sites.

Key Responsibilities

1. Lab Automation Strategy & Deployment

• Lead the GQ Ops automation roadmap to improve productivity, quality, safety, and operational consistency. W
• Evaluate and benchmark industry solutions; translate relevant technologies into scalable lab automation strategies.
• Drive equipment and process automation (e.g., laser mark, ALU, robotics, vision systems, workflow digitization) to reduce manual work.
• Partner with stakeholders to define requirements, assess ROI, support vendor engagement, and execute FAT/SAT/PAC.
• Standardize automation designs across sites based on best-known methods and operational needs.
• Drive AI Transformation for speed, innovation and productivity.

2. MES & AMHS Enablement

• Drive automation of key workflows and ensure MES readiness across development, UAT, deployment, and sustainment.
• Enable AMHS integration to improve material flow, throughput, and system reliability.
• Act as the central GQ Ops interface for MES, AMHS, and lab automation systems.
• Partner with IT, Automation, and Operations teams to improve system uptime, performance, and issue resolution.
• Support AMHS solutioning including layout optimization, tool interface readiness, and operational integration.

3. IE Modeling & Planning Systems

• Develop and sustain scalable, automated planning systems to support GQ Ops operations.
• Build IE models covering capacity, throughput, utilization (PeakUtil%), cycle time, and bottleneck analysis.
• Translate business inputs (ramp plans, loading, tool availability) into actionable planning scenarios for decision-making.
• Improve planning tool adoption, model accuracy, and cross-site standardization.
• Develop digital tools, dashboards, and decision-support systems for operations.
• Bridge the Plan-to-Performance (P2P) gap through modeling insights and feedback loops with operations teams.
• Explore and deploy advanced analytics/AI use cases to improve prediction, automation, and decision quality.

4. MSH Greenfield Lab Enablement

• Lead planning and enablement of MSH greenfield reliability lab for future ramp requirements.
• Translate business needs into layout design, process flow, automation readiness, and execution plans.
• Drive alignment on equipment selection, utilities, infrastructure readiness, and ODD requirements.
• Coordinate across GEL, Process Engineering, Planning, Facilities, Automation, and vendors to ensure readiness and timelines.
• Integrate automation, AMHS, MES, and data considerations early to ensure scalability and minimize rework.

5. Central Team Leadership & Cross-Site Execution

• Lead and develop a high-performing central team.
• Set priorities, manage deliverables, and ensure timely execution of automation and system initiatives.
• Communicate insights clearly to stakeholders, including automation impact, system risks, and model outputs.
• Drive cross-site alignment to standardize best-known methods and scale successful solutions.
• Foster a culture of innovation, accountability, and data-driven decision-making.
• 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.

Minimum Requirement

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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