About the role
AI summarisedDrive measurable outcomes in labor productivity and annualized hour savings by implementing strategies focused on standardization, simplification, automation, and leveraging generative AI methodologies within semiconductor operations.
IDMOnsiteFront End
Key Responsibilities
- Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes.
- Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand.
- 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.
- Manage programs involving pipelines of AI, GenAI, automation, and low code solutions, including copilots, digital footprint, and workflow automation.
- Translate data into actionable insights to support fact-based prioritization and decision making.
Requirements
- Degree in Engineering, Industrial Engineering, Statistics, or a related field.
- At least 3+ years of experience in semiconductor operations.
- 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.
- 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).