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Designs and delivers SAP S/4HANA MM solutions, including enterprise structure, procurement, pricing, account determination, MRP, invoice verification, and integrations with FI/CO, SD, and eWM. Leads implementations, rollouts, solution architecture, fit-to-standard workshops, configuration, testing, documentation, and support. Coordinates technical teams, manages complex requirements and transports, supports global transformation programs, and provides architecture governance and implementation roadmaps.

Plan and coordinate vehicle, system, component, and emissions certification across India and export markets. Prepare type-approval documentation, manage acceptance tests, liaise with technical services and regulatory authorities, evaluate product changes for certification impact, advise internal teams, and interpret new regulatory requirements for product decisions.

Leads Fleet Finance sales strategy and a two-person Fleet Sales team, driving revenue growth, finance penetration, profitability, retention, forecasting, account planning, quotations, and complex commercial and credit approvals. Builds relationships with customers, dealers, brand partners, and sales teams; oversees portfolio performance and escalations; translates market and customer insights into account plans. Represents the company at events and conferences, including interstate travel.

Define and optimize project management processes, methods, and tools within Product Engineering. Analyze process-performance data, identify inefficiencies, implement continuous improvements, and collaborate with stakeholders on process changes. Use digital and AI tools to improve efficiency, conduct audits, and ensure process adoption. The role requires project management expertise, automotive or commercial vehicle experience, analytical problem-solving, stakeholder communication, and a commitment to operational excellence.

Define business problems, build and validate ML PoCs, develop MVPs including data preparation and feature engineering, deploy predictive models to production, set up monitoring, and collaborate with cross-functional teams to refine models based on feedback and new data.

The Data Engineer role involves data management, system design, and collaboration with teams to implement effective data solutions.

Design, develop, and maintain data pipelines using Snowflake, optimize performance, collaborate with stakeholders, and ensure data quality and security.

Develop and implement a Total Quality Management (TQM) strategy in R&D, focusing on process improvement, culture initiatives, training, and cross-functional collaboration.