Director, Capacity Planning and Resource Management

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.

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.

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.

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.

Renesas 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.