Drive reliability methodologies (physics-of-failure, accelerated life testing, design margin analysis, FMEA/DFMEA, statistical modeling) and drive root-cause analysis and corrective action.
Lead the adoption of AI and data analytics by capturing, structuring, and analyzing reliability data across labs and programs to advance reliability prediction, optimize testing, accelerate validation, and enable continuous learning.
Partner with divisional engineering, quality, and program leadership to integrate DfR into design and program milestones, acting as the regional voice of reliability and engage customers to align on reliability expectations, acceptance criteria, and test strategies, balancing technical rigor with time-to-market.
Partner with the reliability test labs to execute test programs, accelerated life, environmental and mechanical stress, and failure analysis feeding lab data back into design decisions and closing capability gaps.
Integrate manufacturing process capability, supplier and component qualification, and field reliability learning into validation strategy and design decisions, and support critical business decisions and reliability risk at product launch, manufacturing quality spills, and potential warranty/field issues.
Qualifications
Required
Bachelor's or Master's in Engineering (Mechanical, Electrical, Materials, or related).
8+ years in reliability, validation, or design engineering, including 3+ years in a leadership or people-management role.
Expertise in DfR methodologies, reliability validation, and accelerated/life testing, with hands-on experience planning and executing programs with reliability or test labs.
Proven experience engaging and negotiating with customers on test and validation strategy.
Demonstrated ability to work across and influence design, manufacturing, quality, supplier, and lab organizations in a matrixed global environment, including leading cross-functional risk reviews and informing product and launch decisions based on reliability evidence.
Strong communication skills in English (written and spoken), including the ability to present technical reliability risk to customers and senior leadership.
Preferred
Strong working knowledge of reliability statistics (life data analysis, confidence methods, test planning), with experience using field, warranty, and test data to drive design and corrective actions.
Experience in automotive or other highly regulated industries including familiarity with electronics and interconnect standards (e.g., USCAR, MIL, AEC-Q, ISO/TS) and supporting customer audits, issue resolution, and qualification negotiations.
Exposure to AI, machine learning, and data analytics including digital test data systems, dashboarding, and analytics tools applied to reliability or engineering problems.
Experience with FRACAS, warranty analytics, and closed-loop corrective action systems.
Experience with supplier or component qualification and manufacturing process reliability.
Track record standardizing engineering processes across a region or enterprise and operating across divisions, sites, or business units.
Reliability certification (e.g., CRE) a plus.
Key Competencies
Strategic capability building and team development; cross-functional influence and customer negotiation; data-driven, analytical thinking; and comfort operating with ambiguity in a matrixed, multi-site environment.
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