Jobs
The OTR Manager II role is a strategic position to lead our last mile operations on route. As an OTR Manager II, you will be a key strategic driver in delivering results. This position requires a strong attention to operational metrics and the ability to coordinate and guide teams through ambiguity.
During Peak Events (High Season) this role is required to work on weekends and Holidays, also during night shifts to ensure the execution of plans. The ideal candidate will have strong analytical skills, leadership experience, excellent communication abilities at all levels, and the capacity to drive operational excellence through team coordination and data-driven decisions while maintaining an empathetic approach. Experience with continuous improvement methodologies and a proven track record of implementing successful process improvements is essential.
Key job responsibilities
The key areas you will focus on at this position are:
- Safety (supporting all programs)
- Service quality/customer experience
- Productivity of your department
- People Experience
A day in the life
- Review the operational forecast and determine on-the-road capacity and productivity requirements to ensure business goals.
- Support all safety programs to ensure a safe work environment for all delivery service providers.
- Proactively identify and lead process improvement initiatives and implement Lean methodologies.
- Analyze operational metrics and develop strategies to improve performance based on data/tendencies.
- Mentor and develop junior managers, fostering their growth and enhancing team capabilities.
- Build and maintain strong relationships with team members through effective communication and empathetic leadership.
- Lead change at internet speed, as innovation has made us the global company we are today.
About the team
You will be part of the Amazon Logistics Team, responsible for the day-to-day on-road management.
At Amazon, we're working to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright, and driven people.
Inclusive Team Culture:
We embrace our differences and we are committed to furthering our culture of inclusion. We encourage team members to seek diverse perspectives, learn and be curious, and earn trust.
Work Life Balance:
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
Basic Qualifications
- 3+ years of employee and performance management experience
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience in English-language communication skills, both written and verbal
- Bachelor's degree or equivalent
Preferred Qualifications
- Bachelor's degree in supply chain management, operations, engineering, analytics or related field
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
2.9
10 reviews
Work-life balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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