Enterprise Engineering Manager

Position Summary

As the Enterprise Engineering Manager, you're responsible for defining and executing the company's global engineering and automation strategy while leading the evaluation, development, and deployment of next-generation robotics, including humanoid technologies. The role bridges upstream technology scouting and proof-of-concept development with downstream industrial implementation to improve productivity, safety, quality, and operational resilience across global manufacturing operations (Philippines, Thaliand, UK)

What you'll do

• Develop the global engineering, automation, and robotics roadmap aligned with business strategy.
• Lead technology scouting and evaluate emerging robotics, AI, humanoid, autonomous mobile robots (AMRs), machine vision, and digital manufacturing technologies.
• Drive upstream R&D, proof-of-concept (PoC), and pilot programs for humanoid and advanced robotic applications.
• Partner with robotics vendors, startups, universities, and research institutions to accelerate innovation.
• Define engineering standards, architecture, and governance for automation and robotics across global sites.
• Lead global capital projects involving robotics, AI, and smart manufacturing technologies.
• Identify manufacturing tasks suitable for humanoids, collaborative robots (cobots), and autonomous systems.
• Build digital twins and simulation models to validate robotics solutions before deployment.
• Oversee integration of robotics with manufacturing execution systems (MES), ERP, IIoT, and AI platforms.
• Ensure compliance with global safety standards, cybersecurity requirements, and applicable regulations for robotic systems.
• Develop engineering talent in robotics, controls, AI, software, and systems integration.
• Measure and report value delivered through automation, including productivity, quality, cost savings, safety improvements, and return on investment.

What you'll bring

• Bachelor's or Master's degree in Mechanical, Electrical, Mechatronics, Robotics, Computer Engineering, or a related discipline.
• 10–15+ years of engineering leadership experience in manufacturing, industrial automation, or robotics.
• Experience with industrial robots, cobots, AMRs, humanoid platforms, machine vision, AI, PLCs, and control systems.
• Knowledge of ROS/ROS2, computer vision, reinforcement learning, digital twins, simulation, and Industry 4.0 technologies is highly desirable.
• Demonstrated experience leading global cross-functional teams and managing strategic technology programs.

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