- Strategic Network Design: Lead the end-to-end setup and execution of Ocean freight lanes for current vehicle programs, employing Value Engineering principles to balance cost, speed, and reliability.
- Operational Excellence & Disruption Management: Oversee daily global freight operations, utilizing advanced problem-solving techniques (., 8D, 5-Whys) to mitigate delays, space constraints, and equipment shortages.
- Digital Transformation & AI Integration: Support the integration of Artificial Intelligence (AI) and machine learning tools to enhance volume forecasting, predictive ETAs, and proactive risk management.
- Advanced Data Visualization: Design and maintain interactive Power BI dashboards to provide real-time visibility into the global pipeline, converting complex datasets into actionable insights for stakeholders.
- Continuous Improvement (Kaizen): Drive a Kaizen culture by identifying incremental process improvements and leading cross-functional workshops to eliminate waste in the inbound supply chain.
- Financial Optimization (TVM): Identify and execute high-impact cost-saving initiatives to achieve Total Value Management (TVM) targets through lane optimization and improved container utilization.
- Process Automation: Leverage Power Automate and other low-code solutions to digitize manual workflows, reducing administrative lead time and improving data integrity.
- Strategic Partnership Management: Lead high-level KPI reviews with Global Logistics Service Providers (LSPs),



driving accountability and fostering innovation in service delivery.
- Market Intelligence: Monitor global shipping trends, including "Blank Sailings" and Port congestion, to develop agile contingency plans for the IMG network.

- Education: / with an MBA in Supply Chain, Logistics, or Operations.
- Experience: 4–7+ years of experience in global logistics, preferably within the automotive or manufacturing sector, with a proven track record of managing complex international networks.
- Problem-Solving Expertise: Strong command of structured problem-solving techniques (Lean Six Sigma, Root Cause Analysis, or A3 thinking) to resolve operational bottlenecks.
- Technical Proficiency:Data Visualization: Expert-level skills in Power BI or Tableau for creating executive-level analytics.Automation: Hands-on experience with Power Apps and Power Automate.AI Curiosity: Familiarity with how AI/Machine Learning can be applied to supply chain forecasting and logistics optimization.Systems: Proficiency in Ford-specific or global ERP systems (., WERS, CMMS3, SAP, or Oracle). Expertise in Incoterms 2020 and international trade regulations.
- Certifications (Preferred):APICS (CSCP, CLTD) or CIPS Six Sigma Green or Black Belt certification.
- Soft Skills : Exceptional English communication skills, a "continuous improvement" mindset, and the ability to influence cross-functional program teams in a matrix environment.

undefined

📌 Inbound Logistic Engineer (India)
🏢 Ford Motor
📍 India