Set technical direction for CPIE initiatives in UE_ROW, quality indices, Frontend–PTS integration, and high‑value bits (PG2+) yield, aligned to business priorities and technology roadmaps.

Architect new data solutions, methodologies, and frameworks to: identify and prioritize yield, quality, and reliability improvement opportunities across process, test, and design. Model, monitor, and benchmark tool performance and process capability at scale. Enable equipment prognostics and advanced process integration. Define test and screening optimization strategies that materially improve product grade yield without quality escape.

Drive end‑to‑end problem solving on complex, cross‑module issues that cannot be addressed within a single function or site.

Partner deeply with Process & Equipment Engineering, Manufacturing (MFG), Product Integration Engineering (PIE), and Data Science (D...