Supply Chain Planner ensuring efficient planning and optimization of the end - to - end supply chain. Involves collaboration with production, procurement, logistics, and external suppliers.
About the role
- Lead AI/ML strategy and delivery for Ford's global supply chain operations. Drive initiatives in cross-functional teams focusing on impactful data-driven solutions.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Collaborate on data strategy initiatives, advocating for data quality, governance, standardization, and accessibility essential for scaling AI solutions.
Requirements
- Master’s degree in Computer Science, Data Science, IT, Operations Research, or equivalent combination of relevant education and experience
- 7+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments. Additional experience to include:
- Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
- Proficiency in programming languages used in enterprise AI/ML (e.g., Python, Java, Scala).
- Strong technical expertise in cloud services (GCP) and data integration patterns
- Proven experience in driving cross-functional standardization (people, process and technology) and governance related to AI/ML solution delivery.
- 3+ years of leadership experience, managing projects, products or teams of technical professionals that includes:
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication, interpersonal skills, and stakeholder management skills.
Benefits
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
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