Staff Engineer, Front End Labor Data Engineering
Core
Drive transformation in labor workflow and productivity by setting up Digital Footprint, capturing process flows, and enabling AI-based solutions to optimize operations and reduce labor hours.
Role type
Staff Engineer, Front End Labor Data Engineering
Builds
Digital Footprint process mining capability, AI-driven workflow optimization solutions, and scalable labor productivity dashboards.
Domain
Semiconductor manufacturing / Industrial Engineering / Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Process mining, Digital Footprint setup, AI solution design, Program management, Business-technical liaison, Labor productivity optimization, Automation and low-code solutions, Data visualization, Analytical capability, Microsoft 365 proficiency
Preferred skills
Semiconductor processes knowledge, GenAI concepts and delivery, Agile Workload Management System (AWMS) data usage
Technologies
Power Automate, Copilot Studio, UiPath, SQL, Power BI, Microsoft 365
Responsibilities
Design and formulate data visualization for actionable insights; Lead standardization of digital processes across sites; Drive year-over-year improvement in labor productivity and headcount; Integrate labor initiatives across AI, automation, and robotics; Develop critical metric dashboards and management reporting; Monitor labor performance metrics and identify gaps.
Seniority
Staff, hands-on IC with strategic leadership