Senior Staff Strategic Planning Specialist

Company Description

We are seeking a Sr. Staff Strategic Planning Specialist to own long-term component-level demand and capacity modeling across semiconductor manufacturing operations. This role will develop integrated demand/capacity models, maintain internal and external supply chain capacity profiles by site, support surge planning, and lead constraint engineering to identify hidden systemic bottlenecks early enough to align capacity, cost, and DFM actions before NPI start and production ramp. 

The ideal candidate combines strong quantitative modeling skills, semiconductor supply chain knowledge, constraint engineering discipline, and cross-functional partnership to deliver predictable capacity availability at scale, reduce late capacity escalations, prevent surprise bottlenecks at ramp, and connect capacity investment and qualification roadmaps to business needs. 

Renesas Electronics, a leading global semiconductor company, is rapidly scaling its AI-focused power delivery business. Products include high-performance digital power VRMs, multiphase controllers, Smart Power Stages (SPS), Vertical Power Stages (SPS with integrated capacitors and multiple silicon die), Power Towers (power modules integrating multiple SPS-equivalents with capacitors and inductors), and power MOSFETs. 

Job Description

Long-term Demand & Capacity Modeling 

• Develop and maintain component-level demand/capacity models across product lines, technology nodes, manufacturing flows, and planning horizons. 
• Translate market, customer, and product roadmap inputs into scalable capacity requirements aligned to NPI and high-volume production timing. 
• Build scenario-based models for base, upside, downside, and surge demand to support executive capacity decisions. 
• Establish planning assumptions, model governance, and refresh cadence to improve forecast consistency and decision quality. 

Supply Chain Capacity Profiles & Constraint Management 

• Create and maintain supply chain capacity profiles across internal and external manufacturing sites, including front-end, back-end, test, and critical supplier constraints. 
• Identify structural capacity constraints early and define mitigation paths before NPI start or production ramp commitments. 
• Support surge planning by modeling practical upside capacity, recovery timing, qualification dependencies, and risk buffers. 
• Drive fewer late capacity escalations by converting long-range signals into actionable capacity readiness plans. 

Constraint Engineering & Systemic Bottleneck Resolution 

• Identify hidden systemic bottlenecks across design, manufacturing, test, supplier capability, yield, cost, and capacity interfaces before they impact ramp execution. 
• Lead data-driven root cause analysis using operational, engineering, supplier, yield, and cycle-time data to isolate constraint drivers and quantify business impact. 
• Own constraint resolution from detection through mitigation, closure, and recurrence prevention across cross-functional teams. 
• Feed structural fixes into DFM, capacity planning, cost reduction, qualification, and supplier readiness roadmaps. 
• Mitigate systemic scaling failures by converting recurring bottlenecks into durable process, design, sourcing, or capacity solutions. 

Capacity Investment & Qualification Roadmap 

• Develop qualification roadmaps that align capacity availability with portfolio demand, NPI timing, and scale requirements. 
• Partner with Manufacturing, Engineering, Procurement, Quality, and Finance to evaluate capacity expansion options, qualification lead times, and investment trade-offs.
• Prioritize capacity actions based on business impact, customer risk, time-to-capacity, and execution feasibility. 

Cross-Functional Alignment 

• Facilitate cross-functional capacity reviews to align demand signals, site readiness, supplier capability, and qualification plans. 
• Translate complex capacity risks into clear executive recommendations, decisions, and escalation paths. 
• Ensure capacity plans are aligned before NPI start and remain synchronized through ramp and scale execution. 

Risk Management & Analytics 

• Develop dashboards and KPIs to monitor capacity availability, utilization, structural constraints, qualification status, systemic bottlenecks, recovery progress, and escalation risk. 
• Conduct sensitivity analysis on demand volatility, supplier constraints, site readiness, surge scenarios, and systemic scaling risks. 
• Drive continuous improvement in modeling methods, data quality, and planning tools to improve capacity predictability at scale. 
• Improve recovery speed from issues that do occur by establishing decision paths, mitigation playbooks, and feedback loops into