Senior Staff Strategic Planning Specialist

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.

Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier'. As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.

With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, 'To Make Our Lives Easier'.

• 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.

• 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.

• 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.

• Develop qualification roadmaps that align capacity availability with portfolio demand, NPI timing, and…