GQ Ops IE Modeling and Automation Manager

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD is seeking a Manager for GQ Ops IE Modeling & Automation to lead automation strategy, system enablement, IE modeling, planning tools, and data governance. You will drive standardized, scalable execution across sites and partner with IT, Facilities, and external partners to reduce manual touchpoints.

You will collaborate with GQ Ops, Process Engineering, Planning, IE, Central and Site Automation to transform operations and enable AI-driven insights

Qualifications

• Bachelor's degree or higher in a technical discipline.
• Minimum 7 years of experience in automation or engineering.
• Experience in automation, IE, manufacturing systems, planning, data analytics.
• Strong knowledge of MES, AMHS, and core metrics (capacity, throughput, cycle time).
• Proficiency in data tools: Excel, SQL, Python, Power BI, Tableau.
• Ability to collaborate across global teams and manage stakeholders.

Responsibilities

• Lead the GQ Ops automation roadmap across sites.
• Benchmark industry solutions and translate into scalable strategies.
• Drive equipment and process automation to reduce manual work.
• Define requirements, ROI, vendor engagement, FAT/SAT/PAC.
• Standardize automation designs across sites and drive AI transformation.
• Develop scalable IE modeling and planning systems.
• Build dashboards and decision-support tools for ops.
• Lead cross-site execution and develop a high-performing central team.

Skills

Automation strategy

AI transformation

Data governance

Cross-functional leadership

Data analysis

Education

Bachelor's degree or higher

Tools

Excel

SQL

Python

Power BI

Tableau

Power Platform

Job description

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.