We are looking for a transformational leader to build and lead Business & Operational Analytics for Power Computing Products (PCP), the fastest-growing business within the Power Products Group (PWR), with a charter to scale the capability across PWR. Today, we have strong visibility into financial outcomes-revenue, GM%, and OM%-but limited visibility into the operational drivers behind those outcomes. This role will establish the metrics, analytics, systems, and operating mechanisms needed to provide leadership with a fact-based view of NPI health, operational performance, productivity, risks, and business impact. This is not a reporting or dashboard role. The leader will define the future-state operating model, build the organization and analytics capability, leverage AI, and drive measurable business transformation. Key Responsibilities 1. Build the Performance Management System • Establish a comprehensive framework for business and operational health beyond financial metrics. • Define critical KPIs, leading indicators, targets, ownership, and accountability. • Connect operational performance → business outcomes → financial impact. • Develop executive performance reviews focused on decisions, actions, and accountability. • Identify trends, systemic issues, and emerging risks before they impact results. 2. Establish NPI Health & Execution Analytics • Build a comprehensive framework to measure NPI health, execution velocity, readiness, cost/margin, quality, risk, and post-launch performance. • Develop leading and predictive indicators to identify which programs are healthy, at risk, why, and what intervention is required. • Benchmark execution productivity and efficiency across products, programs, functions, resources and sites. 3. Turn Data into Business Insights • Move from descriptive reporting to diagnostic and predictive analytics. • Identify root causes and quantify the business and financial impact of operational issues and opportunities. • Integrate data across Finance, Engineering, Operations, Quality, Supply Chain, Product Management, and IT/Data. • Enable faster, fact-based resource, investment, and business decisions. 4. Build the Organization & Drive Business Transformation • Assess the current state and define the target operating model, organization, and transformation roadmap. • Build a high-performing Business & Operational Analytics team with clear interfaces across Business, IT, and Data. • Simplify, standardize, automate, and transform processes using data, analytics, and AI. • Establish scalable tools, standards, and continuous-improvement mechanisms with clear accountability and measurable outcomes. • Partner with senior leaders to turn insights into decisions, actions, and business impact. 5. Leverage AI & Advanced Analytics • Identify and scale high-value opportunities for AI-enabled operational intelligence. • Develop predictive models for NPI risk, schedule, quality, supply, capacity, cost, and business outcomes. • Deploy AI agents and intelligent workflows to automate data gathering, analysis, issue identification, and performance management. • Move from static dashboards to intelligent, exception-based decision support. • Establish and scale an AI roadmap across PWR. 6. Scale Across PWR • Initially focused on PCP, establish a scalable PWR Performance & Operational Intelligence capability. • Create common standards, metrics, systems, and operating mechanisms across PWR. • Provide leadership with an integrated view of NPI Health / Operational Performance / Productivity / Cost / Risk / Business Impact. Qualifications Required • Bachelor's degree in engineering, Computer Science, Data Science, Business, Operations, or related field; advanced degree preferred. • 7-10+ years of progressive experience in business/operational analytics, engineering operations, NPI, transformation, strategy, or related fields. • Demonstrated experience building business performance-management or operational analytics capabilities. • Proven ability to translate complex data into actionable insights for senior executives. • Strong understanding of NPI/product development and operational execution. • Experience building teams, processes, and capabilities from the ground up. • Strong business acumen and ability to connect operational performance to financial outcomes. • Proven ability to influence cross-functional teams and drive change without direct authority. • Excellent executive communication and presentation skills. Preferred • Semiconductor, electronics, hardware, or high-tech industry experience. • NPI/product lifecycle management experience. • Experience across Engineering, Operations, Quality, Supply Chain, and Finance. • Experience with advanced analytics, predictive modeling, AI, or machine learning. • Experience scaling capabilities from a business unit to an enterprise. • Experience with modern data platforms, BI tools, and enterprise systems. • Experience applying AI/agentic technologies to transform business processes and deliver measurable outcomes. Leadership Profile We are looking for a builder and transformer-not simply an analytics manager. The ideal candidate: • Thinks strategically, operates with urgency, and is comfortable creating structure from ambiguity. • Moves seamlessly between executive strategy and operational execution. • Influences experienced cross-functional leaders without authority and builds credibility through facts and data. • Understands that analytics creates value only when it changes decisions and improves outcomes. • Can build a team and operating model from the ground up. • Has a strong bias toward action and measurable results. • Is curious about AI and knows how to apply emerging technologies to real business problems. • Is comfortable connecting business strategy, operational processes, data, technology, and financial impact. Additional Information Pay Transparency (approved text) The expected annual pay range for this position is $216,000 - $270,000. This position is also eligible for bonus opportunities. Please note that final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate. Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources. Videos To Watch https://www.youtube.com/embed/k-zs4tB6nNc