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Regional Manager, Fleet Strategy and Planning, MEA, AMET DSP

Amazon

Regional Manager, Fleet Strategy and Planning, MEA, AMET DSP

Amazon

Dubai, ARE

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Parental Leave

Mental Health

Healthcare

401k

Parental Leave

Mental Health

Required Skills

Data Analysis

Forecasting

Strategic Planning

Operations Management

Stakeholder Management

At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we're constantly looking to take to a new level is how we fulfill and deliver orders. Our goal is to exceed the expectations of all our customers. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels through the introduction of pioneering new products and services in the last mile delivery space.

The AMET (Africa, Middle East and Turkey) Fleet organization is responsible for managing and growing Amazon's Last Mile Fleet across the region. We are seeking an exceptional Senior Manager to lead Fleet Strategy, Planning and Programs for the AMET (Africa, Middle East, and Turkey) region—one of our fastest-growing and most dynamic markets.

In this pivotal role, you will be the strategic architect of AMET's fleet operations, responsible for the complete fleet lifecycle from demand forecasting and procurement to operational excellence and partner experience. You'll leverage sophisticated analytical modeling to predict fleet requirements years in advance, drive operational excellence through data-driven insights, and ensure our Delivery Service Partners (DSPs) have the tools and support they need to succeed.
This is a rare opportunity to shape the future of Amazon's logistics capabilities in a high-growth region. You'll work at the intersection of strategy, operations, analytics, and partnership management—driving decisions that impact hundreds of millions of dollars in capital investments while building the foundation for sustainable growth.

The ideal candidate combines deep analytical capabilities with strong business acumen and exceptional stakeholder management skills. You'll need to be equally comfortable building sophisticated forecasting models, coaching operations teams on best practices, and presenting strategic recommendations to senior leadership. You'll thrive in ambiguity, design scalable solutions for emerging markets, and have a commitment to operational excellence and customer obsession.
This role requires approximately 30% travel across the AMET region to build relationships, conduct operational assessments, and drive change management initiatives.

Key job responsibilities
1.

Fleet Demand Planning & Forecasting:

  • Design and develop scalable fleet demand modeling to predict last mile van / size requirements across Africa, Middle East, and Turkey

  • Create demand plans for multiple vehicle specifications (diesel/electric, long/short wheel base, specialized configurations) across long-term strategic (+3 years), medium-term tactical (12-18 months), and short-term operational (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