Manager - XMART Business Responsibilities & Key Deliverables Leading RO exchange team to deliver on Exchange KPIs for assigned territory Enhance New vehicle retail through exchange Resale Value Study: conduct periodic RV studies for M&M; and competition products across geographies to develop local market strategies Resale Value management: Protect & Enhance resale value for M&M; products Support planning and execution of BTL activities for exchange business through dealerships Dealer capability building for exchange & pre-owned vehicle business Dealer Satisfaction: Enhance M&M; dealer profitability through Organized Pre-Owned vehicle business Business Control - Develop exchange business policy, Claim audit policy and implementation Develop various current IT Platforms/Tools for supporting Exchange Business Scrappage business: Drive M&M;'s preparedness for EPR obligations through development of a scalable scrappage ecosystem across the Dealer network.

Ensure Channel

Capability through training programs, SOP deployment,



and stakeholder engagement across the network.

Manage Partner

Ecosystem including DigiELV, Cero, and RVSFs to ensure seamless operation, regulatory compliance and continuous process improvement Drive Business Performance by leveraging scrappage incentives, identifying growth opportunities, and driving scrappage-linked vehicle retail conversions-Monitor evolving scrappage and EPR regulations; ensure compliance through processes, controls and stakeholder alignment.

Preferred Industries Automobile Education

Qualification MBA (Preferred) General Experience Strong knowledge of automobile makes, models, valuations, and market trends Excellent communication and interpersonal skills Analytical mindset with the ability to interpret data and make informed decisions Proficiency in using digital sales platforms & tools Ability to work independently and as part of a team Critical Experience Experience Level Mid Level

📌 Manager - Exchange and Resale Value Business (Mumbai)
🏢 Mahindra and Mahindra
📍 Mumbai