LEAD, ADVANCED MANUFACTURING ENGINEER

WHO YOU’LL WORK WITH

This team leads the advancement of automation and digitization across Nike’s manufacturing network. The role reports to the Director of Manufacturing Systems Engineering, South Asia, and partners with Apparel and Accessories Factory Partners, internal Manufacturing, Supply Chain, and technology integrators.

WHO WE ARE LOOKING FOR:

Nike is looking for a leader who blends technical mastery with bold vision—an engineer who thrives where automation meets innovation. This person excels at designing scalable systems, navigating complexity, and pushing manufacturing capabilities forward. They bring sharp analytical instincts, a strong command of automation and digitization technologies, and the presence to influence cross‑functional partners. They operate with clarity and conviction, inspire teams to reach further, and consistently find new ways to make manufacturing smarter, faster and more resilient. They anticipate challenges, solve with precision, and energize others through their drive for continuous improvement.

Required Qualifications:

• Open to work in Vietnam

• Minimum 5 years of experience in advanced manufacturing with emphasis on automation and digitization

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or related field.

• Experience with General Sewing Data (GSD), capacity planning, and leading engineering teams

• Background in automation technologies, software for manufacturing systems, and digitization initiatives; project management experience preferred

WHAT YOU’LL WORK ONYou’ll lead the strategy and execution of automation and digitization solutions across Nike’s global manufacturing network. You’ll partner across engineering, factory, and cross‑functional teams to build modern, scalable systems that elevate performance and transform operations.

Key Responsibilities:

• Collaborate with Advanced Manufacturing Engineering, Factory Partners, Supply Chain, and technology teams to deliver integrated solutions

• Lead end‑to‑end design, development, and deployment of automation and digitization initiatives

• Co‑create modernization roadmaps with factory partners to accelerate capability building

• Drive adoption of robotics, machine learning, artificial intelligence, and Internet of Things (IoT) technologies in manufacturing

• Develop automation frameworks and standards that ensure reliability, consistency, and scalability

• Conduct technical assessments and feasibility studies to guide investment and capability decisions

• Enable knowledge sharing across product, engineering, and process teams; define and track KPIs for performance impact