Operations Manager: Lead Teams, Drive Productivity & Safety

Amazon; Aberdeen (MD); On-site; USD 91,000 - 137,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Parental leave

Job summary

Amazon is seeking an Operations Manager to lead a team of salaried and hourly staff across multiple shifts in Aberdeen, MD. You will mentor the workforce, drive productivity plans, and partner with Safety, Engineering, and HR to meet performance goals.

The role emphasizes safety, quality, and on-time delivery, with heavy emphasis on data-driven decision making and process improvements. Expect variable shifts and physical requirements.

Qualifications

• 3+ years of employee and performance management experience.
• Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience.
• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Responsibilities

• Support, mentor, and motivate your salaried and hourly workforce.
• Lead large-scope projects with site and regional impact.
• Build and execute productivity plans through forecast reviews and load balancing.
• Manage safety, quality, productivity, and customer delivery promises.
• Collaborate with Safety, Engineering, Loss Prevention, Quality Assurance, HR to meet business objectives.
• Lift up to 49 pounds and stand/walk up to 12 hours during shifts.
• Work in environments with variable temperatures and noise levels.

Skills

Employee management

Performance management

Lean techniques

Project leadership

Analytical skills

Customer service

Education

Bachelor's degree or equivalent

Bachelor's degree in Engineering, Operations, or related field

Tools

Lean

Six Sigma

Kaizen

Job description

Amazon is seeking an Operations Manager to lead a team of salaried and hourly staff across multiple shifts in Aberdeen, MD. You will mentor the workforce, drive productivity plans, and partner with Safety, Engineering, and HR to meet performance goals.

The role emphasizes safety, quality, and on-time delivery, with heavy emphasis on data-driven decision making and process improvements. Expect variable shifts and physical requirements.