Senior Engineer, Front End Labor Data Engineering

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD. seeks a results-driven program leader to accelerate FE labor productivity and annualized hour savings through standardization, simplification, automation, and GenAI initiatives across sites.

You will oversee end-to-end delivery, integrate AI, automation, robotics and low-code solutions, and develop KPI dashboards to track benefits, labor hours reductions, and productivity improvements while aligning staffing with workload demand.

Qualifications

• Degree in Engineering, Industrial Engineering, Statistics, or related field.
• 3+ years of experience in semiconductor operations.
• Strong program management with governance, benefits realization, dependency management.
• Experience leading productivity, operational efficiency, or workforce optimization programs.
• Working knowledge of GenAI concepts and delivery.
• Experience delivering automation and low-code solutions (Power Automate, Copilot Studio, UiPath, SQL)
• Strong analytics with KPIs and dashboards; translate data into decisions.
• Excellent communication and stakeholder management across sites and executives.
• Proficiency with Microsoft 365 and data visualization (Power BI).

Responsibilities

• Drive YoY improvement in FE labor productivity and VAM/HC in support of the productivity roadmap.
• Lead end-to-end execution and governance of FE labor productivity programs for on-time delivery and measurable outcomes.
• Integrate labor initiatives across AI, automation, robotics, and innovation programs into a cohesive plan; report benefits.
• Maintain loading-based staffing to align staffing with workload demand.
• Provide governance for SEAL and SWAT initiatives.
• Lead Labor SWAT initiatives to improve FE labor productivity and AI roadmap.
• Monitor labor performance metrics and benchmark best practices.
• Enable cross-site knowledge sharing to scale successful solutions.
• Guide sites to identify productivity opportunities using AWMS workload data.

Skills

Program management

GenAI concepts

Analytics

Stakeholder management

Communication

Decision making

Education

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

Tools

Power Automate

Copilot Studio

UiPath

SQL

Power BI

Excel

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).