2nd-Shift Automation Packing Supervisor

1025 LEGO Manufacturing Virginia Inc.; United States; Hybrid; USD 85,000 - 127,000; Full time

Benefits offered by this job

Family Care Leave

Life and disability insurance

Headspace wellbeing app

Colleague discount

Bonus scheme

Hybrid work policy

Job summary

The LEGO Group in Virginia seeks a Packing Supervisor on the day shift to lead daily operations across highly automated packing lines, ensuring safe, stable production and continuous improvement.

You will coach frontline operators and technicians, coordinate with Operations, Maintenance, Engineering, Quality and Planning to maintain production continuity, monitor KPIs, and address downtime with data-driven problem-solving approaches.

Qualifications

• Experience leading teams in manufacturing/automated environments.
• Experience with automated equipment, robotics, PLC-controlled systems.
• Familiarity with MES/SCADA/HMI monitoring systems.
• Strong problem-solving and decision-making skills in fast-paced ops.
• Ability to coordinate cross-functional teams during disruptions.
• Strong communication and team development skills.

Responsibilities

• Oversee daily operations of highly automated production lines.
• Coach frontline operators and technicians.
• Monitor KPIs and production plan execution.
• Collaborate with Operations, Maintenance, Engineering, Quality and Planning.
• Drive continuous improvement for equipment reliability and production flow.

Skills

Team leadership

Automation equipment experience

Cross-functional coordination

Problem solving

Education

Engineering/Mechatronics

Tools

MES

SCADA

HMI

Job description

The LEGO Group in Virginia seeks a Packing Supervisor on the day shift to lead daily operations across highly automated packing lines, ensuring safe, stable production and continuous improvement.

You will coach frontline operators and technicians, coordinate with Operations, Maintenance, Engineering, Quality and Planning to maintain production continuity, monitor KPIs, and address downtime with data-driven problem-solving approaches.