Senior/Staff Engineer, FE Labor Production & Data Engineering

Role Overview

• 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.
• 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.
• 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.
• 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).

Tech Stack

• SQL

Benefits

• N/A