Senior Supply Chain AI Transformation Lead

Deloitte France; Tempe (AZ); On-site; USD 141,000 - 278,000; Full time

Job summary

Deloitte US Supply Chain & Network Operations is seeking a senior role to transform product portfolios and value chains with AI-driven, software-defined solutions. You will partner with clients to design end-to-end architectures spanning hardware, software, and data.

The role emphasizes collaboration with executives, data integration across ERP and cloud platforms, and governance to ensure secure, scalable deployments from pilot to production. Travel up to 50% is expected.

Qualifications

• 10+ years consulting experience.
• 3+ years Agentic AI experience.
• Platform engineering experience.
• Software defined product experience.
• Data integration experience.
• Ability to travel up to 50%.
• Must be legally authorized to work in the United States without employer sponsorship.

Responsibilities

• Architect end-to-end AI and agentic solutions for product portfolio strategy, demand forecasting, and product lifecycle management.
• Lead data harmonization, platform clustering, and product rationalization efforts.
• Partner with CTO, COO, CPO, VP of Supply Chain or Operations to translate goals into system requirements.
• Oversee data flows across ERP, SAP, PLM, ALM and cloud data lakes.
• Design governance frameworks for real-time visibility into AI and agentic systems, ensuring security, cost-effectiveness, and scalability.
• Drive end-to-end transformation of configure-to-order and engineer-to-order processes.

Skills

Consulting experience

Agentic AI experience

Platform engineering

Software-defined products

Data integration

Travel up to 50%

Education

Bachelor's Degree

Job description

Deloitte US Supply Chain & Network Operations is seeking a senior role to transform product portfolios and value chains with AI-driven, software-defined solutions. You will partner with clients to design end-to-end architectures spanning hardware, software, and data.

The role emphasizes collaboration with executives, data integration across ERP and cloud platforms, and governance to ensure secure, scalable deployments from pilot to production. Travel up to 50% is expected.