As Vice President, Verification & Validation, you will lead the transformation from document-centric V&V to an AI-enabled, model-based continuous validation ecosystem leveraging digital twins, fleet data, and an end-to-end digital thread. You will define and drive the enterprise strategy for verification and validation across vehicle systems, ensuring safety, compliance, robustness, and speed of execution across the full product lifecycle. This strategic leadership role requires deep expertise in automotive engineering, MBSE, SysML v2, requirements traceability end-to-end, AI-enabled validation methods, and data-driven decision-making, combined with exceptional leadership and cross-functional collaboration skills. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Develop and execute a forward-looking verification and validation strategy that drives the shift from document-centric processes to AI-enabled, model-based continuous validation. Build and lead a high-performing V&V organization across systems, software, hardware, and vehicle integration, fostering innovation, technical excellence, and operational rigor in support of software-defined vehicle (SDV) development. Establish and scale validation frameworks leveraging digital twins, simulation, virtual verification, HiL/SiL/MiL, CI/CD validation pipelines, automated regression testing, and fleet data analytics to enable earlier defect detection and continuous learning. Partner closely with systems engineering, software, hardware, product, manufacturing, and quality teams to define validation requirements and ensure end-to-end requirements traceability through a robust digital thread across the development lifecycle. Drive adoption of MBSE, SysML v2, digital thread practices, requirements traceability (e2e), test automation, scenario-based validation, and AI-assisted test generation to improve validation coverage, speed, and quality. Leverage connected vehicle and field performance data to enable closed-loop validation, AI-based coverage analysis, machine learning for defect prediction, and data-driven prioritization of validation activities. Champion the use of GenAI for requirements review and test review, increasing consistency, completeness, and efficiency across validation workflows. Ensure compliance with automotive safety, cybersecurity, and quality standards, including ISO 26262 and SOTIF, and lead safety case development to support validation readiness, release decisions, and risk management. Lead strategic investments in tools, methods, and digital infrastructure that support scalable validation platforms, cloud-based simulation, and enterprise-wide validation analytics. Manage resources, budgets, and development timelines to ensure efficient execution and timely delivery of validation milestones. Communicate clearly with executive leadership and cross-functional stakeholders, providing actionable insights, progress updates, and strategic recommendations on validation maturity and vehicle readiness.
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Job Type
Full-time
Career Level
Executive