Senior Product Manager, Supply Chain AI & Decision Intelligence

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

In this position...

As a Senior Product Manager, Supply Chain AI and Decision Intelligence, you will lead the design, delivery and operational excellence for the AI-First strategy within our global supply chain. You will be responsible for leading the identification, development, and deployment of high-impact AI/ML use-cases that drive measurable business value. You will bridge the gap between complex business challenges and actionable AI/ML capabilities and ensure their seamless integration into Ford's operations. This role demands a blend of technical expertise in AI/ML, advanced analytics and data platform engineering, functional expertise in supply chain, and strong leadership to influence stakeholders and deliver transformative results. with a particular focus on establishing and standardizing the AI-based SDLC across cross-functional teams.

Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week 

What you'll do...

AI/ML Solution Leadership & AI-Based SDLC: 

• Lead cross-functional teams in the end-to-end development and deployment of AI/ML solutions for critical supply chain challenges (e.g., demand forecasting, inventory optimization, supplier risk prediction, logistics efficiency, sustainability).
  • Design, implement, and champion an AI-based Software Development Life Cycle (SDLC) tailored for supply chain delivery, ensuring robust processes from ideation and data acquisition through model development, deployment, monitoring, and retirement.
  • Translate strategic AI initiatives into concrete project roadmaps, technical requirements, and execution plans. Ensure AI solutions are robust, scalable, and maintainable, adhering to best practices in MLOps, data governance, and model lifecycle management.
• Supply Chain Domain Expertise:
  • Partner closely with supply chain functional leads in Manufacturing Planning & Logistics, Purchasing, Sustainability, etc., to identify high-impact AI opportunities and pain points. 
  • Deeply understand operational processes to ensure AI solutions are practical, user-centric, and drive measurable ROI.
  • Contribute to the strategic mapping of Ford's N-tier supply chain data landscape to unlock new AI capabilities.
• Cross-Functional Standardization & Stakeholder Engagement: 
  • Drive the standardization of AI/ML development and deployment practices across various business units and technical teams, fostering consistency and reusability.
  • Act as a liaison between technical AI teams and various business units, effectively communicating complex technical concepts and solution benefits to non-technical stakeholders. Champion a data-driven culture to deliver decision intelligence.
  • Build strong relationships across cross-functional Industrial Systems IT (ISIT) and Industrial System Data Platform (ISDP) teams, Enterprise Data Platform (EDP), and business operations to secure necessary resources and foster AI adoption.
• Team & Project Management:
  • Lead and mentor a team of data scientists, AI/ML engineers, business analysts and product managers, fostering a culture of innovation, accountability, and continuous learning.
  • Manage project timelines, resources, & ensure timely delivery of high-quality AI solutions.
  • Contribute to the establishment of internal AI best practices, reusable components, and a knowledge-sharing framework. Manage an inventory of cross-functional AI capabilities.
• Data & Ecosystem Contribution:
  • Collaborate on data strategy initiatives, advocating for data quality, governance, standardization, and accessibility essential for scaling AI solutions.
  • Support the integration of external data sources and industry standards (e.g., Catena-X).

  • Monitor industry trends in operational excellence, AI/ML engineering, and supply chain platform performance to inform continuous improvements.

     

You'll have...

• Master’s degree in Computer Science, Data Science, IT, Operations Res