The posting
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.



