Number of Direct Reports (Solid Line) : 0 Number of Direct Reports (Dotted Line) : 0 Number of Outsourced Reports : 0 Purpose of the Job : Responsible to To establish an impartial, data-driven tyre validation ecosystem that transforms field-testing insights, product performance analysis, and market intelligence into institutional knowledge, enabling faster, smarter, and future-ready product and technology development. The role will act as the Eye and Ear of R D, translating real-world operating conditions into controlled validation methodologies, competitive intelligence, and actionable engineering insights through advanced analytics, Tyre duty cycle, digitalization, and robust system development. Major Responsibilities : Impartial Tyre Validation: Establish objective, data-driven tyre validation methodologies that translate real-world operating conditions into actionable product development insights. Benchmark Performance Analysis: Evaluate internal and competitor tyre performance to identify performance gaps, improvement opportunities, and technology benchmarks. Market Mapping Competitive Intelligence: Capture market trends, customer usage, competitor performance, and emerging technology insights to support R D and product strategy. Digitalization Efficiency Improvement: Data analytics, and digital tools to improve field-testing effectiveness, productivity, and decision-making. System Development Knowledge Management: Develop a structured data lake, digital test-reporting platform, analytical models, AI-ready datasets, work instructions, and SOPs to institutionalize engineering knowledge. System Thinking Capability Development: Build system-thinking, analytical, and structured problem-solving capabilities within the Field Engineering team to strengthen tyre–vehicle correlation and root-cause analysis. Future-Ready Product Development: Convert field-testing insights and market intelligence into validated engineering recommendations that accelerate the development of robust, competitive, and future-ready tyre technologies. Skills : Strong expertise in tyre engineering, tyre performance evaluation, vehicle applications, and field-testing methodologies. Advanced analytical capability in statistical methods, data interpretation, benchmarking, and structured root-cause analysis. Proficiency in digital data management, visualization platforms, and test-report automation. Working knowledge of AI/ML applications, data lake architecture, and analytical model development. Strong system-thinking, strategic problem-solving, and cross-functional collaboration skills. Relevant Experience : Minimum 10 years of experience in Tyre industry Education Qualification(s) : Min B. Tech, - Mechanical / Automobile /Rubber /Polymer/ Technology