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Ford Motor Company is a United States-based automotive manufacturer with a history dating to 1903. In addition to developing and producing vehicles, the company is expanding its focus across mobility services, digital experiences, and software. Ford’s work also includes sustainability efforts and environmental targets, reflecting an approach that connects transportation, innovation, community impact, and responsible business practices.
Ford MP&L AI and Digital Transformation Manager
Lead Ford’s manufacturing planning and logistics transformation with AI, analytics, and automation. Advance predictive supply chain optimization and digital capabilities across the global MP&L organization.
Description
- Set the MP&L AI and innovation roadmap in line with enterprise goals.
- Select and deliver AI, machine learning, generative AI, computer vision, IoT, and digital twin projects to improve inventory, bill of materials health, freight costs, supplier risk, material handling, and operations.
- Define KPIs to measure business value, return on investment, and operational efficiency.
- Assess emerging technologies, pilot ideas, and expand successful solutions across the organization.
- Build predictive and prescriptive analytics for demand forecasting, inventory, material shortages, supplier risk, and logistics.
- Work with Supply Chain, Purchasing, Product Development, Manufacturing, Quality, Finance, IT, GDIA, and external partners.
- Use governance forums to oversee innovation work, track business benefits, and support ongoing improvement.
- Encourage innovation through idea generation, workshops, sharing proven practices, and capability development.
- Build relationships with technology startups, university research labs, supply chain software vendors, and industry groups.
- Lead change management and training across the global MP&L organization.
- Use Lean, Six Sigma, and digital tools to remove waste, reduce carbon emissions, and strengthen supply chain resilience.
Requirements
- Bachelor’s degree in engineering, supply chain, operations research, computer science, data analytics, information technology, or a related field; a master’s degree is preferred.
- 8–12 years of progressively responsible experience in supply chain, material planning, and logistics.
- Experience delivering AI, analytics, automation, or digital transformation initiatives in manufacturing or automotive.
- Track record of taking AI, machine learning, or advanced analytics projects from concept to production with measurable business impact.
- Certifications such as Certified in Production and Inventory Management or Certified Supply Chain Professional are preferred.
- Project Management Professional (PMP) certification is preferred.
- Lean Six Sigma Green Belt or Black Belt certification is preferred.
- AI or data science certifications, such as Azure AI Engineer or AWS Machine Learning Specialty, are preferred.
- Practical knowledge of machine learning algorithms, optimization modeling, deep learning, computer vision, and generative AI applications.
- Expertise with SAP S/4HANA, warehouse management systems, transportation management systems, and material requirements planning.
- Familiarity with AWS, Azure, or Google Cloud Platform; Tableau or Power BI; SQL; and Python or R.
- Exposure to IoT sensors, RFID tracking, digital twin simulation tools, autonomous mobile robots, and edge AI.
- Experience in project management, stakeholder engagement, change leadership, Agile environments, and cross-functional collaboration.
- Ability to turn operational challenges into AI technical roadmaps.
- Ability to influence stakeholders ranging from plant floor operators to executive leaders.
- Strong storytelling and executive presentation skills.
- An external-facing profile or resume is required when applying.
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