Supply Chain Transformation Lead (Agentic AI)

Deloitte France; San Diego (CA); On-site; USD 141,000 - 278,000; Full time

Job summary

Join Deloitte's US Supply Chain & Network Operations team to lead big-scale AI and data-driven transformations across industries. You will architect end-to-end agentic solutions, harmonize data, and collaborate with senior leaders to turn strategic goals into actionable systems.

The role demands deep consulting experience, platform engineering, and hands-on skills in AI tools, cloud platforms, and data integration. Travel up to 50% may be required.

Qualifications

• 10+ years of consulting experience.
• 3+ years of Agentic AI experience.
• Platform engineering experience.
• Software-defined product experience.
• Data integration experience.
• Bachelor's Degree.
• Ability to travel up to 50%, based on work and clients.
• Legally authorized to work in the United States without sponsorship.

Responsibilities

• Architect end-to-end AI and agentic solutions for product portfolio strategy, demand forecasting, and PLM.
• Lead data harmonization, platform clustering, and product rationalization efforts.
• Partner with CTO/COO/CPO/VP of Supply Chain 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.
• Drive end-to-end transformation of configure-to-order and engineer-to-order processes.

Skills

Consulting experience

Agentic AI experience

Platform engineering

Software defined product

Data integration

Travel ability

Work authorization

Education

Bachelor's Degree

Tools

AWS

Azure

GCP

Python

Machine Learning

Generative AI

Agentic AI tools

Job description

Join Deloitte's US Supply Chain & Network Operations team to lead big-scale AI and data-driven transformations across industries. You will architect end-to-end agentic solutions, harmonize data, and collaborate with senior leaders to turn strategic goals into actionable systems.

The role demands deep consulting experience, platform engineering, and hands-on skills in AI tools, cloud platforms, and data integration. Travel up to 50% may be required.