Finance Manager, Supplier Risk

Ford Ford · Auto · Dearborn, MI +1 · Finance

This role is for a Finance Manager at Ford, responsible for the financial strategy of supplier risk management. The role involves leading a global team, developing financial reporting, partnering with cross-functional teams, and overseeing the development of proactive risk frameworks, including AI-driven monitoring tools. The primary focus is on financial strategy and risk management within the supply chain, not on building or directly deploying AI models.

What you'd actually do

  1. Lead the departmental shift into two specialized workstreams: a Proactive team focused on early-warning indicators and an Active team focused on managing high-impact distressed supplier cases.
  2. Design and implement a comprehensive reporting tools to provide senior management with high-visibility updates.
  3. Serve as the primary finance lead in the review and negotiation of complex legal documents related to supplier restructurings and accommodations.
  4. Hold direct responsibility for the end-to-end integrity of SRM financial reporting.
  5. Act as the primary Finance partner to the Supply Chain Operating Team.

Skills

Required

  • Bachelor’s Degree in Finance, Accounting, Economics, or a related field.
  • 10+ years of experience in Finance, with a proven track record in leadership roles.
  • Strong Financial Acumen: Deep expertise in financial analysis and familiarity with corporate accounting principles.
  • Data-Driven Storytelling: Proven ability to develop executive-level KPIs and synthesize complex data into clear, high-impact presentations for senior leadership.
  • Contractual Literacy: Proven ability to interpret and provide strategic input on complex legal contracts and restructuring agreements.
  • Influencing Skills: Exceptional ability to align cross-functional stakeholders (Legal, Purchasing, Operations) on a unified strategy during high-pressure crises.

Nice to have

  • MBA or comparable degree.
  • Experience in Kaizen or Lean methodology to drive process optimization.

What the JD emphasized

  • AI-driven monitoring