发布于 2026-09-14
英文原文
高级主任战略产能项目经理
Sr Staff Production PM
ルネサス エレクトロニクス
| 职种 | 业务运营 | 雇用形态 | — |
|---|---|---|---|
| 工作地点 | Bayan Lepas, my | 薪资 | 面议 |
职位概要
该职位负责长期产能缺口识别、解决方案提案并主导解决产能约束的举措。主要职责包括:开发并维护跨产品线、技术节点、制造流程和规划周期的组件级需求/产能模型,构建基准、上行、下行和激增需求的情景模型以支持高管产能决策;建立并维护内部及外部制造基地(前道、后道、测试及关键供应商)的供应链产能档案,提前识别结构性产能约束并在NPI启动或量产爬坡承诺前制定缓解路径;支持激增规划,通过建模实际上行产能、恢复时间、认证依赖和风险缓冲,将长期信号转化为可执行的产能就绪计划;主导约束工程,利用运营、工程、供应商、良率和周期时间数据进行数据驱动的根因分析,识别并量化隐藏的系统性瓶颈;作为项目经理推动跨职能团队从检测到缓解、关闭和防止复发的约束解决举措,将结构性修复反馈到DFM、产能规划、降本、认证和供应商就绪路线图;开展敏感性分析和风险分析,持续改进建模方法、数据质量和规划工具。要求:运营、工程、供应链或相关领域学士学位,7年以上半导体制造、供应链规划或运营战略经验,深入理解半导体制造和供应链,具备项目管理领导经验,高级分析和建模技能(Excel、VCO、AI优化、SQL、Python等),优秀的沟通和演示能力。优先:MBA或硕士学历,熟悉统计预测方法,了解行业周期和长交期半导体设备规划。
职位描述
Job Description We are seeking a Sr. Staff Strategic Capacity PM to own long-term capacity gap identification, provide solution proposals, and lead the initiatives to solve capacity constraints. 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 and solve 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 program management experience 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. Responsibilities: Long-term Demand & Capacity Modeling Develop and maintain component-level demand/capacity models across product lines, technology nodes, manufacturing flows, and planning horizons. 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. Program Management Program Manage the constraint resolution initiatives 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. Facilitate cross-functional capacity reviews to align demand signals, site readiness, supplier capability, and qualification plans. Risk Management & Analytics 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. Qualifications Required 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 with Program Management leadership experience. Experience identifying systemic bottlenecks, leading data-driven root cause analysis, and driving solutions across engineering, manufacturing, supplier and 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. Strong stakeholder management, communication, collaboration, and partnership skills across Engineering, Operations, Supply Chain, and OSAT partners. Familiarity with statistical forecasting methods. Knowledge of industry cycles and long-lead semiconductor equipment planning. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future. At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Are you ready to join our team and shape the future with us? Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement .