refresh

Trending Companies

Trending

Jobs

JobsAmazon

Supply Chain Manager, Forward Nodes Planning

Amazon

Supply Chain Manager, Forward Nodes Planning

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$77,200 - $77,200

Benefits & Perks

Competitive salary and equity package

Parental leave

401(k) matching

Professional development budget

Comprehensive health, dental, and vision insurance

Team events and activities

Equity

Parental Leave

Learning

Healthcare

Required Skills

Python

JavaScript

PostgreSQL

Are you excited to drive high-visibility, strategic logistics and technology solutions to help streamline Amazon's operations?
Amazon Logistics (AMZL) is looking for a motivated individual with strong analytical skills, supply chain knowledge, and technology experience to join our team as a Supply Chain Manager. In this position, the successful candidate will own mid to long term topology strategy, short and long term plan of record management, and topology optimization engine for Amazon delivery forward nodes planning. This position requires working with multiple stakeholders across various supply chain functions like engineering, finance, operations, sales and operation planning. This role is a high visibility role as it requires regular interaction with the leadership team and involves critical decision making. Finally, this position develops and implements ideas to drive continuous improvement by simplifying the process, creating additional value, and driving automation.

  • Key job responsibilities
  • Working with other technical teams on supply chain optimization modeling and strategy
  • Developing critical reports and presenting to senior leaders
  • Designing scalable and strategic solutions for customers in hard to reach places
  • Leading ambiguous initiatives from pilot to scale across the country
  • Running cost benefit analysis on multiple scenarios for the best forms of customer fulfillment
  • Presenting final recommendations to leaders
    A day in the life
    This role combines strategic thinking, data analytics, supply chain optimization, stakeholder management and hands-on problem solving – all with a direct impact on Amazon’s global last mile delivery network.
    Every day is a new adventure with opportunities to work backwards from customer needs and solve complex real work problems. You will leverage data-driven models to develop long-term AMZL build plans and lead scenario analysis to guide decision making as teams drive towards your plan. You will have opportunity to develop business cases for innovative delivery solutions, automate manual processes, and/or develop new modelling solutions for the network.

Basic Qualifications

  • 3+ years of program or project management experience
  • 3+ years of working cross functionally with tech and non-tech teams experience
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience
  • 2+ years of supply chain experience
  • 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

Preferred Qualifications

  • 3+ years of driving end to end delivery, and communicating results to senior leadership experience
  • 3+ years of driving process improvements experience
  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
  • Experience building processes, project management, and schedules
    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
    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.
    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77,200/year in our lowest geographic market up to $141,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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

L2 · Data Analyst L2

0 reports

$108,330

total / 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