{"id":2962293,"url":"https://alion.io/job/renesas-electronics-senior-staff-production-project-manager","title":"Senior Staff Production Project Manager","company":{"id":3481,"name":"Renesas Electronics","domain":"renesas.com","url":"https://alion.io/company/renesas-electronics","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":114,"ghost_share":0,"stale_share":0.982,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Management","role_family":"Management","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tempe, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1043},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Bottleneck","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Cython","optional":true}],"status":"live","first_seen_at":"2026-10-20T15:10:20Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-01T04:16:24Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"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.\nThe 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.\nRenesas 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.\nKey Responsibilities\nLong-term Demand & Capacity Modeling\nDevelop and maintain component-level demand/capacity models across product lines, technology nodes, manufacturing flows, and planning horizons.\n\nBuild scenario-based models for base, upside, downside, and surge demand to support executive capacity decisions.\n\nEstablish planning assumptions, model governance, and refresh cadence to improve forecast consistency and decision quality.\n\nSupply Chain Capacity Profiles & Constraint Management\nCreate and maintain supply chain capacity profiles across internal and external manufacturing sites, including front-end, back-end, test, and critical supplier constraints.\n\nIdentify structural capacity constraints early and define mitigation paths before NPI start or production ramp commitments.\n\nSupport surge planning by modeling practical upside capacity, recovery timing, qualification dependencies, and risk buffers.\n\nDrive fewer late capacity escalations by converting long-range signals into actionable capacity readiness plans.\n\nConstraint Engineering & Systemic Bottleneck Resolution\nIdentify hidden systemic bottlenecks across design, manufacturing, test, supplier capability, yield, cost, and capacity interfaces before they impact ramp execution.\n\nLead data-driven root cause analysis using operational, engineering, supplier, yield, and cycle-time data to isolate constraint drivers and quantify business impact.\n\nProgram Management\nProgram Manage the constraint resolution initiatives from detection through mitigation, closure, and recurrence prevention across cross-functional teams.\n\nFeed structural fixes into DFM, capacity planning, cost reduction, qualification, and supplier readiness roadmaps.\n\nMitigate systemic scaling failures by converting recurring bottlenecks into durable process, design, sourcing, or capacity solutions.\n\nFacilitate cross-functional capacity reviews to align demand signals, site readiness, supplier capability, and qualification plans.\n\nRisk Management & Analytics\nConduct sensitivity analysis on demand volatility, supplier constraints, site readiness, surge scenarios, and systemic scaling risks.\n\nDrive continuous improvement in modeling methods, data quality, and planning tools to improve capacity predictability at scale.\n\nImprove recovery speed from issues that do occur by establishing decision paths, mitigation playbooks, and feedback loops into capacity and DFM planning.\n\n Bachelor’s degree in Operations, Engineering, Supply Chain, or related field.\n\n7+ years of experience in semiconductor manufacturing, supply chain planning, or operations strategy.\n\nStrong understanding of semiconductor fabrication and supply chain with Program Management leadership experience.\n\nExperience identifying systemic bottlenecks, leading data-driven root cause analysis, and driving solutions across engineering, manufacturing, supplier and planning teams.\n\nAdvanced analytical and modeling skills (Excel, VCO, AI Optimization, SQL, Python, or similar tools).\n\nExcellent communication and presentation skills.\n\nPreferred\nMBA or Master’s degree in Operations, Engineering, Supply Chain or related field.\n\nStrong stakeholder management, communication, collaboration, and partnership skills across Engineering, Operations, Supply Chain, and OSAT partners.\n\nFamiliarity with statistical forecasting methods.\n\nKnowledge of industry cycles and long-lead semiconductor equipment planning.\n\nKey Competencies\nStrategic thinking with strong data analytics acumen\n\nData-driven decision making\n\nScenario modeling and financial analysis\n\nCross-functional leadership\n\nRisk assessment and mitigation\n\nConstraint engineering and systemic bottleneck resolution\n\n 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.\nAt 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.\nWe believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.\nAre you ready to join our team and shape the future with us?\nRenesas 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.\nRenesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.","description_format":"text","description_chars":6683,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Automotive Components","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-20T23:12:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 60 · green card filings: 30","filings_12m":60,"filings_prev_12m":78,"green_card_filings_12m":30,"median_offered_wage_usd":144222,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.62,"p_room":0.9,"age_days":10,"expected_fill_days":30,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/renesas-electronics-senior-staff-production-project-manager","json_url":"https://alion.io/job/renesas-electronics-senior-staff-production-project-manager.json","meta":{"generated_at":"2026-11-01T04:57:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7727,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3481},"rest":"https://alion.io/mcp/rest/get_company?id=3481"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frenesas-electronics-senior-staff-production-project-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frenesas-electronics-senior-staff-production-project-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frenesas-electronics-senior-staff-production-project-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/renesas-electronics-senior-staff-production-project-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frenesas-electronics-senior-staff-production-project-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2962293}},{"tool":"search_jobs","arguments":{"company":"renesas.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2962293},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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