Senior Engineer, FE Labor Prod. & Data Engrg

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. seeks a program leader to drive labor productivity improvements across FE operations. You will standardize tools and processes, lead AI and automation initiatives, and partner with Finance to report benefits.

You will manage pipelines of GenAI, automation, and low-code projects, embed scalable practices, and guide cross-site teams to realize measurable time savings and efficiency gains.

Qualifications

• Degree in Engineering, Industrial Engineering, Statistics, or related field.
• 3+ years of experience in semiconductor operations.
• Strong program management skills including governance, benefits realization, dependencies, and change management.
• Experience leading productivity or efficiency programs with measurable outcomes.
• Knowledge of GenAI concepts and delivery (use-case framing, prompts, adoption metrics).
• Experience delivering automation/low-code solutions (Power Automate, Copilot Studio, UiPath, SQL).
• Strong analytics; able to translate data into decisions and plans.
• Excellent communication and stakeholder management across sites, central, and executives.

Responsibilities

• Drive year-over-year improvement in FE labor productivity and savings.
• Lead end-to-end execution and governance of FE productivity programs with on-time delivery.
• Integrate AI, automation, robotics, and innovation programs into a cohesive plan.
• Maintain loading-based staffing models aligned to workload demand.
• Provide governance for SEAL and SWAT initiatives.
• Lead Labor SWAT initiatives to advance productivity and AI roadmap.
• Monitor metrics, benchmark best practices, and support recovery actions.
• Enable cross-site knowledge sharing to scale solutions across the network.
• Guide teams to identify opportunities using AWMS data for time savings.
• Manage pipelines of AI, GenAI, automation, and low-code projects (copilots, workflow automation).
• Support development of AI roadmaps focusing on reuse and scalability.
• Drive intake and value assessment to ensure sustainable adoption.

Skills

Program management

GenAI concepts

Automation & low-code

Data analytics

Communication & stakeholder mgmt

Semiconductor operations

Education

Bachelor's degree in Engineering/related field

Tools

Power Automate

Copilot Studio

UiPath

SQL

Power BI

Job description

You will drive measurable outcomes in labor productivity and annualized hour savings by implementing strategies focused on standardization, simplification, automation, and leveraging generative AI methodologies. These approaches will enable reductions in labor hours, enhance labor efficiency, shorten cycle times, and improve overall operating cadence.

Responsibilities

Program Management and Delivery

• Drive year over year improvement in FE labor productivity VAM/HC in support of the 5MORE productivity roadmap.

• Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes. Standardize tools, methods, and processes across sites to enable scalable and repeatable execution aligned with enterprise goals.

• Integrate labor initiatives across AI, automation, robotics, DREAM team, and innovation programs into a cohesive execution plan. Track, validate, and report productivity benefits including labor hour reduction, VAM/HC, and annualized savings in partnership with Site’s Labor Champions & Finance team.

• Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand.

• Provide governance support for SEAL and SWAT initiatives.

• Lead Labor SWAT initiatives to improve FE labor productivity and functional AI roadmap. Targeted actions address gaps, accelerate progress, and support overall productivity goals.

FE Network Productivity and Enablement

• Monitor labor performance metrics, identify gaps, benchmark best practices, and support performance recovery actions when needed.

• Enable cross site knowledge sharing to scale successful solutions and maximize network impact.

• Guide site and central teams to identify and prioritize productivity opportunities using AWMS workload data to convert effort into measurable time savings.

• Managing programs involving pipelines of AI, GenAI, automation, and low code solutions, including copilots, digital footprint, and workflow automation.

• Support development and execution of functional AI roadmaps across FE organizations with focus on reuse and scalability.

• Drive structured use case intake, value assessment, feasibility review, and deployment planning to ensure sustainable adoption.

Data Driven Insights and Reporting

• Develop KPI dashboards and management reporting to provide visibility into progress, adoption, and realized benefits.

• Translate data into actionable insights to support fact-based prioritization and decision making.

• Support workload forecasting, productivity baselining, and scenario modeling by coordinating requirements and validating outputs with stakeholders.

Requirements

• Degree in Engineering, Industrial Engineering, Statistics, or a related field

• At least 3+ years of experience in semiconductor operations.

• Strong program management skills (portfolio planning, governance, benefits realization, dependency management, change management).

• Preferred experience leading programs/projects with demonstrated outcomes in productivity, operational efficiency, or workforce/labor optimization.

• Working knowledge of GenAI concepts and delivery (use-case framing, prompt/workflow design basics, evaluation of value and risk, adoption metrics).

• Experience delivering automation and low-code solutions (e.g., Power Automate, Copilot Studio, UiPath, SQL or similar), including requirements-to-deployment lifecycle.

• Strong analytical capability (KPIs, dashboards, baseline/benefits tracking); able to translate data into decisions and execution plans.

• Excellent communication and stakeholder management skills across site, central, and executive audiences.

• Proficiency with Microsoft 365 (Excel/PowerPoint/Teams) and data visualization tools (e.g., Power BI).