Director, Business & Operational Analytics

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.

4. Build the Organization & Drive Business Transformation

Leadership Profile

We are looking for a builder and transformer—not simply an analytics manager.

Responsibilities

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.; 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.; 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.; 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.; 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.; 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.

Requirements

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.; 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.

Nice to have

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.