Ford Motor Company
Dearborn, MichiganSupply Chain Resilience Lead - Ford
About the role
Overview
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You will lead data-driven resilience initiatives to safeguard Ford's global supply chain. Work closely with senior leadership to shape strategies that mitigate risks, improve visibility, and secure continuity across Tier 1/2 suppliers. You’ll translate complex analyses into actionable plans, driving cross-functional governance and capitalizing on continuous learning. This role offers high visibility, strategic impact, and opportunities to scale resilience capabilities across the organization.
Compensation / Benefits
• Immediate medical, dental, vision coverage
• Flexible family care days and parental leave
• Tuition assistance
• Vehicle discount program
• Paid time off and holidays
• Paid time off with option to buy extra vacation
Responsibilities
• Develop and present data-driven resilience strategies to executive leadership (e.g., dual sourcing, localization, capacity expansion)
• Lead identification and mitigation of global supply chain risks, including dependencies and geopolitical constraints
• Drive value stream mapping to improve sub-tier visibility and uncover systemic risks
• Manage resilience governance with cross-functional forums, KPI scorecards, and prioritization of critical risks
• Evaluate financial trade-offs of mitigation strategies (CapEx, tooling, cost-of-inaction)
• Partner with Engineering, Finance, and Supplier Technical teams to execute de-risking plans and ensure quality/validation compliance
• Lead supplier engagement on capacity, safety stock, and transition strategies
Key requirements
• Bachelor's degree in a related field
• 5+ years in supply chain, sourcing, procurement, or operations within automotive or complex manufacturing
• 5+ years experience identifying supply xklufbp chain risks and executing mitigation strategies
• 5+ years experience in program management, cross-functional initiatives, governance, and KPI tracking
• Strong analytical and data-driven decision-making skills with ability to apply analytics to supply chain challenges
• Effective communication with senior leadership
• Influencing and cross-functional collaboration
• Ability to work in fast-paced, ambiguous environments
• Data analytics and forecasting
• Advanced analytics or AI tools for risk identification and efficiency
• Value stream mapping (VSM)