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, Labor Data Engineering & Process Mining
Builds
Digital Footprint infrastructure, process mining capabilities, and AI-driven workflow optimization solutions for global Front End operations.
Domain
Semiconductor manufacturing / Industrial Engineering / Data Engineering
Deliverable
dashboards & analysis
Required skills
Data engineering, Process mining, AI/GenAI concepts, Data visualization, Change management, Cross-functional collaboration, Semiconductor process knowledge, Productivity metrics analysis, Agile workload management, Standardization of digital processes
Preferred skills
Industrial Engineering degree, Business insight, Leadership skills
Technologies
Digital Footprint, Agile Workload Management System (AWMS), AI/GenAI tools
Responsibilities
Design and formulate data visualization to translate insights into actionable steps; Drive AI-based solutions to optimize digital footprint for labor savings; Lead standardization of digital processes across sites; Develop critical metric dashboards and management reporting; Monitor labor performance metrics and support performance recovery; Enable cross-site collaboration to scale productivity solutions; Guide teams in identifying productivity opportunities using data.