RAGHUVARRAN V H

Established and lead the organization's connected vehicle Data & AI platform, creating the foundation for enterprise analytics, AI adoption, and data-driven decision-making across the Software Defined Vehicle ecosystem.

• Defined and executed the enterprise Data & AI platform strategy for connected vehicle programs.
• Architected and implemented cloud-native data and analytics platforms using Databricks and AWS.
• Led the development of AI, Computer Vision, and Generative AI solutions for connected mobility use cases.
• Partnered with Engineering, Service, Customer Experience, and Dealer Management stakeholders to transform business challenges into scalable data products and AI solutions.
• Established enterprise data architecture practices spanning data modeling, metadata management, governance, and reusable data products.
• Served as Product Owner and Technical Lead for strategic Data & AI initiatives, aligning platform capabilities with business objectives.
• Drove adoption of modern data platform principles to enable scalable analytics, AI readiness, and self-service insights across the organization.
• Built Mahindra's connected vehicle Data & AI platform from the ground up, establishing the foundational data ecosystem for analytics, AI, and enterprise decision-making.
• Enabled prognostic analytics capabilities that helped prevent more than 12,000 potential walk-home situations, significantly improving customer experience and vehicle reliability.
• Delivered fleet behavior analytics that enabled critical engineering and business decisions by providing actionable insights into vehicle usage, performance, and customer patterns.
• Designed and implemented an Agentic AI-based service assistant, enhancing customer service experiences through intelligent automation and contextual assistance.
• Led the data and analytics initiative behind the Mahindra Unlimit Yearbook, which received the Best Creative Use of Data Award at the 2026 ACKO Drive MarCom TOTM Awards.

Built a strong foundation across automotive software engineering, systems engineering, connected mobility, and data platforms over a 14-year career with Bosch. Progressed from embedded software development to technical leadership roles spanning global automotive programs, connected vehicle analytics, and cloud data engineering. Spent over three years working onsite in Germany, collaborating with international product and engineering teams on large-scale automotive programs.

• Built deep expertise across automotive software, systems engineering, and connected mobility platforms through more than a decade of product development experience.
• Spent over three years at Bosch Germany, contributing to global vehicle programs and collaborating with international engineering and product teams.
• Progressed from embedded software development to systems engineering, product development, data engineering, and AI-driven analytics solutions.
• Led the development of cloud-based analytics and connected vehicle solutions, enabling data-driven decision-making through Azure-based data platforms.
• Established the technical foundation that enabled a successful transition into enterprise Data & AI leadership.