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Senior Program Manager, Mixed Multi Leg and Channel SME

Amazon

Senior Program Manager, Mixed Multi Leg and Channel SME

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$104,100 - $104,100

Benefits & Perks

401(k) matching

Professional development budget

Generous paid time off and holidays

Parental leave

Competitive salary and equity package

Learning

Parental Leave

Equity

Required Skills

Python

Node.js

PostgreSQL

At Amazon, we're working to be the Earth’s most customer-centric company. To get there, we need exceptionally talented, bright, and driven people. Amazon Logistics (AMZL) is seeking a Sr. Program Manager, Tech Subject Matter Expert (SME) to work within the AMZL network. The SME works across technology and operations teams on the prioritization, development, optimization, and sustainment of the technology and related process in order to positively impact customer experience while supporting business growth.
The SME team acts as a catalyst for change by driving innovation at the operator level, prioritizing technology initiatives and supporting engineering design innovations. The SMEs strive to be experts in Amazon’s operation systems. They are accountable to delivering world class solutions through optimizing and reinventing the existing technology.
The SME organization are functional experts on the software tools in a given process areas and their application in the AMZL network. As a Sr. Program Manager, you will define the process the team uses to deliver best in class tech to the field. This team looks for ways to automate human decision making by influencing Technology to build and update tools that reduce process complexity to deliver robust processes.
Travel approx. 25% to North American Delivery Stations
Key job responsibilities
· Partner with tech organization on the business requirement documents (BRD)
· Highlights areas of business risk and impact for Technology Team resource allocation and provide input on software design to support lean processes and standard work
· Act as gatekeeper for prioritizing software enhancements and feature requests submitted by the sites and serve as the interface with the delivery stations to drive adoption of changes
· Support process improvements, best practice sharing, and standardization across all Amazon Logistics processes using Lean principles
· Measure and establish standard rates for standard work to be used for labor and capacity planning
· Provide metrics inputs that support compliance of standard work and that drives improvements in cost and quality
· Collaborate with counterparts in other functional areas (Safety, Quality, Learning, Loss Prevention) as well as the Operations Engineering team and DS Launch SME team to drive standardization of core process elements to support network growth and scale
A day in the life
You will work with operational teams (Engineering, Quality, Execution) and technical teams (Software Engineers, Product Managers) to drive deliverables according to the operational plan. This includes participating in the cyclical responsibilities of a program, including building the vision and requirements, testing new software and processes, and deploying solutions network wide.

Basic Qualifications

  • 5+ years of program or project management experience
  • Experience using data and metrics to determine and drive improvements
  • Experience owning program strategy, end to end delivery, and communicating results to senior leadership
  • Bachelor's degree

Preferred Qualifications

  • 2+ years of driving process improvements experience
  • Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
    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 $104,100/year in our lowest geographic market up to $185,000/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.

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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

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