Senior/Staff Engineer, FE Labor Prod. & Data Engrg

Drive measurable outcomes in labor productivity and annualized hour savings by implementing strategies focused on standardization, simplification, automation, and leveraging generative AI methodologies. Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes.

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)