Head - Head Mechanical and Vehicle Validation

Key Responsibilities

• Lead the Mechanical and Vehicle Validation function across vehicle, system, subsystem, and component levels, ensuring alignment with business objectives and product development timelines.


• Define and drive validation strategies, test methodologies, duty cycles, reliability growth plans, and performance evaluation frameworks for new and existing vehicle platforms.


• Review and approve DVPs, DVP&R reports, validation plans, test results, risk assessments, engineering releases, and validation sign-offs.


• Establish robust validation processes using FMEA, field failure learnings, accelerated durability techniques, and root cause analysis to enhance product reliability and quality.


• Drive Product Attribute Testing (PAT) and Product Attribute Leadership Strategy (PALS) initiatives to achieve targeted vehicle performance, durability, and customer satisfaction objectives.


• Collaborate with Engineering, CAE, Quality, Manufacturing, and Product Development teams to ensure validation requirements are embedded early in the product development cycle.


• Lead failure investigations, validate corrective and preventive actions, and ensure effective closure of field and validation issues.


• Oversee vehicle performance, durability, reliability, benchmarking, functional verification, and regulatory compliance testing activities.


• Develop annual validation roadmaps, testing infrastructure plans, and capability-building initiatives to support future technologies and vehicle programs.


• Optimize utilization of testing facilities, engineering resources, budgets, and manpower while driving cost-effective validation solutions.


• Provide regular validation status reviews, risk assessments, performance insights, and strategic recommendations to senior leadership.


• Build, mentor, and develop high-performing validation teams while fostering a culture of technical excellence, innovation, safety, quality, and continuous improvement.


• Promote the adoption of advanced analytics, AI-enabled validation tools, and modern testing methodologies to improve validation efficiency and product robustness.