Operations Lead - Data-Driven Team Builder

Amazon Inc.; Colorado Springs (CO); On-site; USD 91,000 - 137,000; Full time

Job summary

Amazon.com Services LLC is seeking an Operations Manager to lead a team of salaried and hourly staff, focusing on safety, quality, attendance, and performance. You will drive improvements through data-driven decisions and analytical problem-solving, and mentor your team to meet ambitious delivery promises.

In this role you’ll manage cross-functional collaboration, balance productivity and staffing, and support continuous growth within our expanding fulfillment network across multiple shifts and

Qualifications

• 3+ years of employee and performance management experience.
• Bachelor's degree or equivalent, or 2+ years Amazon experience.
• Flex scheduling including weekends, nights, and holidays.
• Experience leading lean/process improvement initiatives.

Responsibilities

• Support, mentor, and motivate 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.
• Continuously climb and descend stairs and lift up to 49 pounds where required.

Skills

People management

Leadership

Analytical thinking

Customer service

Education

Bachelor's degree or equivalent

Bachelor's/Master's in Engineering/Operations/Supply Chain

Job description

Amazon.com Services LLC is seeking an Operations Manager to lead a team of salaried and hourly staff, focusing on safety, quality, attendance, and performance. You will drive improvements through data-driven decisions and analytical problem-solving, and mentor your team to meet ambitious delivery promises.

In this role you’ll manage cross-functional collaboration, balance productivity and staffing, and support continuous growth within our expanding fulfillment network across multiple shifts and