Key Responsibilities

1. NPI Demand Fulfillment & Execution

• Manage end-to-end execution of NPI demand lines from build request through shipment.

• Monitor MAD commitments and proactively identify delivery risks.

• Drive recovery plans and mitigation actions for schedule deviations.

• Partner with site NPM and operations teams to improve delivery predictability.

• Support demand line closure and disposition governance processes.

2. Build Plan & Production Order Management

• Coordinate build plan commitments with manufacturing sites.

• Monitor production order start and completion performance.

• Drive execution to meet production order due dates and customer commitments.

• Resolve execution bottlenecks impacting critical NPI deliveries.

3. WIP & Hot Lot Management

• Monitor critical NPI WIP movement across assembly, test, module and SSD operations.

• Manage hot lot prioritization and escalation processes.

• Track end-to-end cycle time performance and ensure timely lot progression.

• Collaborate with operations teams to remove bottlenecks and expedite critical material.

4. NPI Cycle Time Governance

• Analyze model cycle time versus actual cycle time performance.

• Identify cycle time gaps and drive corrective actions with sites and engineering teams.

• Support cycle time benchmarking, reporting, and governance reviews.

• Maintain cycle time assumptions used for NPI planning and forecasting.

5. NPI-to-HVM Transition Management

• Track product readiness and transition milestones.

• Monitor PG4 or equivalent launch performance metrics.

• Coordinate transition activities between development and manufacturing organizations.

• Ensure smooth handoff from NPI to sustaining production teams.

6. Risk Management & Business Reviews

• Lead backlog and MAD risk reviews.

• Develop mitigation plans with cross-functional stakeholders.

• Escalate critical risks affecting schedule, capacity, materials, or customer commitments.

• Provide regular performance updates to management and business partners.

7. Automation & Continuous Improvement

• Drive automation opportunities for planning and execution processes.

• Develop reporting and analytics to improve operational visibility.

• Support implementation of AI, RPA, and digital transformation initiatives.

• Standardize processes across sites to improve efficiency and scalability.

Required Qualifications

Education

• Bachelor's degree in Engineering, Supply Chain Management, Operations Management, Manufacturing Engineering, Industrial Engineering, or related field.

Experience

• Experience in semiconductor manufacturing, supply chain, planning, operations, product engineering, or NPI management.

• Experience working in cross-functional manufacturing environments.

• Knowledge of semiconductor assembly, test, module, or SSD operations is preferred.

Technical Skills

• Data analysis and reporting skills.

• Advanced Microsoft Excel and Power BI/Tableau capabilities.

• Strong understanding of manufacturing execution and planning systems.

• Experience with SAP, planning tools, or enterprise analytics platforms is advantageous.

• Python, SQL, Power Automate, or AI/automation skills are preferred.