Senior Staff Strategic Planning Specialist at Renesas Electronics — Chandler, AZ

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 capacity and DFM planning.
• Bachelor’s degree in Operations, Engineering, Supply Chain, or related field.
• 7+ years of experience in semiconductor manufacturing, supply chain planning, or operations strategy.
• Strong understanding of semiconductor fabrication and supply chain.
• Experience identifying systemic bottlenecks, leading data-driven root cause analysis, and driving structural fixes across engineering, manufacturing, supplier, and capacity planning teams.
• Advanced analytical and modeling skills (Excel, VCO, AI Optimization, SQL, Python, or similar tools).
• Excellent communication and presentation skills.

Preferred

• MBA or Master’s degree in Operations, Engineering, Supply Chain or related field.
• Experience in capital planning within a wafer fab environment.
• Familiarity with statistical forecasting methods.
• Knowledge of industry cycles and long-lead semiconductor equipment planning.

Key Competencies

• Strategic thinking with strong data analytics acumen
• Data-driven decision making
• Scenario modeling and financial analysis
• Cross-functional leadership
• Risk assessment and mitigation
• Constraint engineering and systemic bottleneck resolution
• Senior-level communication