Job description

Req. ID:

JR105257 GQ Ops IE Modeling and Automation Manager

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 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

Bachelor’s degree or higher in Industrial Engineering, Automation, Mechatronics, Electrical/Electronics, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline.
Minimum 7 years of experience.
Relevant experience in automation, industrial engineering, manufacturing systems, planning, capacity modeling, data analytics, process improvement, or system implementation.
Strong working knowledge of MES, AMHS, equipment automation, and core operational metrics (capacity, throughput, cycle time, bottlenecks, and productivity).
Proficiency in data analysis and reporting tools such as Excel, SQL, Python, Power BI, Tableau, Power Platform, AI agent or equivalent.
Demonstrated ability to execute projects effectively, with strong communication, stakeholder management, and structured problem-solving skills.
Proven ability to collaborate across cross-functional and global teams, including GQ Ops, IE, Planning, Process Engineering, Automation, IT, Facilities, and external partners.

Preferred Qualifications

Experience in semiconductor manufacturing, backend operations, reliability labs, automation deployment, or high-volume manufacturing environments.
Hands-on experience with robotics, AMHS, MES integration, vision systems, auto-dispatching, workflow automation, or equipment integration.
Familiarity with industry automation standards and protocols (e.g., SECS/GEM, E84, E87, or similar interfaces).
Experience in ROI evaluation, vendor engagement, technical specification review, and FAT/SAT/PAC qualification processes.
Exposure to Industry 4.0, AI/ML applications, low-code automation platforms, or digital transformation initiatives.
Prior people management experience or demonstrated ability to lead, coach, and develop technical teams.

Job Profile(s):

Quality Engineering Manager 1

Relocation level: (TBD)

Before Getting Started
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As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.