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Amazon Flex Operations Manager, Amazon Flex

Amazon

Amazon Flex Operations Manager, Amazon Flex

Amazon

Osasco, SP, BRA

·

On-site

·

Full-time

·

4w ago

Required Skills

SQL

Excel

Project Management

The Amazon Flex program uses independent drivers—called delivery partners—to deliver to our customers. Through the Amazon Flex app, drivers sign up for the program, schedule pickup times, are guided during routes with the navigation system, and more.

We are looking for an Operational Manager to help drive the expansion of Amazon Flex in Brazil, while maintaining high quality and efficiency standards. In this role, you will be responsible for supporting new releases and operational preparation, managing business metrics and driver experience, collaborating with stakeholders to improve program performance, and implementing processes and mechanisms to enhance the overall Amazon Flex experience.

  • Key job responsibilities
  • Manage and oversee various multifunctional programs, ensuring their successful delivery.
  • Develop and enhance program strategies, effectively leading and motivating teams.
  • Define clear objectives for programs, using data analysis to drive improvements and achieve goals.
  • Deal with ambiguities in business scenarios and resolve them by applying creative problem solving skills.
  • Promote collaboration with internal and external partners to optimize resource allocation and project success.
  • Evaluate and prioritize projects in conjunction with client needs and technical team contributions.
  • Identify and mitigate risks, preventing them from becoming larger problems.
  • Communicate regularly with senior managers, business leaders, and other stakeholders to support key business initiatives.
  • Develop, implement, and oversee KPI reports for a program portfolio, ensuring clear visibility of project milestones and performance.
  • Effectively manage and communicate project budgets.

Basic Qualifications

  • Bachelor's degree
  • Knowledge of Excel (Pivot Tables, VLook Ups) at an advanced level and SQL
  • Experience defining program requirements and using data and metrics to determine improvements
  • Speak, write, and read fluently in English
  • Experience in program or project management
  • Experience working cross-functionally with tech and non-tech teams
  • Experience in defining and implementing process improvement initiatives using data and metrics

Preferred Qualifications

  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
  • Experience building processes, project management, and schedules
  • Experience in driving end to end delivery, and communicating results to senior leadership
  • Experience in process improvement

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

Amazon

Public

Amazon.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

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

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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