Manager - VES CDMM COE

5 days ago

Chennai, Tamil Nadu, India Mahindra & Mahindra Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Responsibilities & Key Deliverables

Automation & Digital Strategy

  • Lead full-cycle automation projects for E&E component lines, ensuring scalability and flexibility.
  • Design and deploy robotic systems, Industry 4.0, IoT-enabled devices, and sensor-based solutions.
  • Integrate PLC, robotics, AI/ML algorithms, and 3D vision systems for predictive quality and process optimization.
  • Implement MES, SCADA, and IoT platforms for real-time monitoring, traceability, and analytics.

Process Excellence & Quality

  • Apply APQP, PPAP, FMEA, SPC, and other quality tools to ensure uncompromising quality.
  • Drive Industry 4.0 initiatives including digital twins, predictive maintenance, and smart factory solutions.
  • Ensure compliance with IATF 16949, ISO standards, and EHS guidelines.

Supplier Collaboration

  • Work closely with Tier 1 & Tier 2 suppliers for automation projects, equipment selection, and process standardization.
  • Build and maintain strong industry connections for technology scouting and partnerships.

Machine & Equipment Selection

  • Evaluate and select the right machines, robots, and automation equipment for optimal performance and ROI.
  • Ensure alignment with process capability, safety, and future scalability.

Competency Center – 6P Framework

  • Vertical Pillars: Product, People, Process
  • Horizontal Slabs: Performance, Profitability, Partnership
  • Core Principles: Process Excellence, Customer Focus, Uncompromising Quality, Agile Adaptability, Synergetic Ecosystem, Digitization

Project & Team Leadership

  • Manage project timelines, budgets, and vendor relationships.
  • Train and mentor teams on automation, IoT, MES, and quality systems.
Experience
  • 5-10 years of experience in automation for automotive E&E components.
Industry Preferred
Qualifications
Btech
General Requirements
  • Expertise in industrial automation, robotics, IoT, and MES integration.
  • Strong knowledge of AI/ML applications, 3D vision, and sensor technologies.
  • Familiarity with automotive electronics assembly processes and quality tools (APQP, PPAP).
  • Ability to evaluate and select machines/equipment for automation lines.
  • Excellent analytical, problem-solving, and project management skills.
  • Strong industry network for technology partnerships.

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