AI-Driven Process Excellence Co-op

Johnson & Johnson; Milpitas (CA); On-site; USD 37,000 - 84,000; Part time

Benefits offered by this job

Mentorship

Hands-on project experience

AI training sessions

Job summary

Johnson & Johnson in Milpitas, CA is seeking a Process Excellence & AI Co-op to accelerate continuous improvement and digital transformation across the Supply Chain. You will work with the Site Process Excellence Lead and cross-functional teams to identify opportunities to reduce cycle time, eliminate non-value-added activities, and improve productivity using Lean methodologies and AI-enabled solutions.

The role involves Kaizen events, analyzing processes, developing AI-driven improvements, and

Qualifications

• Pursuing a Bachelor's or Master's degree in Industrial Engineering, Supply Chain, Business, Data Analytics, Information Systems, Computer Science, or a related field.

Responsibilities

• Partner with Site Process Excellence Lead and team to support cross-functional process improvement and Kaizen initiatives.
• Develop and implement AI-enabled solutions that improve efficiency and reduce manual effort.
• Assist with process mapping, root cause analysis, and future-state design.
• Create tools, resources, and standard work that support continuous improvement efforts.
• Facilitate AI training sessions, workshops, and user adoption activities.
• Track and communicate results, including cycle time reduction, productivity gains, and business impact.

Skills

Analytical skills

Problem solving

Communication skills

Microsoft Office

AI tools exposure

Education

Bachelor's or Master's degree in Industrial Engineering, Supply Chain, Business, Data Analytics, Information Systems, Computer Science, or related field

Tools

Power Platform

Process mapping software

Job description

Johnson & Johnson in Milpitas, CA is seeking a Process Excellence & AI Co-op to accelerate continuous improvement and digital transformation across the Supply Chain. You will work with the Site Process Excellence Lead and cross-functional teams to identify opportunities to reduce cycle time, eliminate non-value-added activities, and improve productivity using Lean methodologies and AI-enabled solutions.

The role involves Kaizen events, analyzing processes, developing AI-driven improvements, and