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Program Manager, Relo Ops Excellence, Relo Ops Integration

Amazon

Program Manager, Relo Ops Excellence, Relo Ops Integration

Amazon

Phoenix, AZ, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$66,800 - $129,800

Benefits & Perks

Flexible work

Development budget

Stock options

Parental leave

Health benefits

Competitive salary and bonus

Equity

Parental Leave

Healthcare

Required Skills

Salesforce

Python

SAP

At Amazon Worldwide Returns & Re Commerce, (WWR&R), we aspire to zero: zero cost of returns, zero waste, and zero defects.
We are an agile, innovative organization dedicated to “making zero happen” to benefit our customers, company, and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WWR&R includes business, product, program, data, and software engineering teams, who together manage the lifecycle of returned and damaged products.
In this role, you will work closely with product managers, program managers, software developers, and operations stakeholders to improve the Customer Returns and Re Commerce processes and tools. You will manage established programs for our operations teams to ensure the best associate and customer experience.
Key job responsibilities

  1. Operational capabilities to support new business needs
  2. Operational processes to reduce cost through performance efficiencies
  3. Standard Operating Procedures to ensure compliance, quality, and scalability
  4. Field tools and dashboards to assist with execution of brilliant basic pillars
  5. Shared projects with other WWR&R teams – NCRC, Re Commerce, ROE Programs and Tech – as cross functional stakeholders
  6. Create dashboards and track success metrics
    A day in the life
    A day in the life
    The Program Managers of the OI team own scoping, designing, and implementing:
  7. Operational capabilities to support new business needs
  8. Operational processes to reduce cost through performance efficiencies
  9. Standard Operating Procedures to ensure compliance, quality, and scalability
  10. Field tools and dashboards to assist with execution of brilliant basic pillars
  11. Shared projects with other WWR&R teams – NCRC, Re Commerce, ROE Programs and Tech – as cross functional stakeholders
    About the team
    The Re Lo Ops Integration (RLOI) team innovates across all aspects of Re Lo UTR operations (Crets, AW, Specialty, External Repairs) to drive performance efficiencies while maintaining or raising the quality bar. Scalable long-term processes drive the team’s vision yet do not hamper a culture of implementing scrappy, quick wins for pilots and continuous improvement.

Basic Qualifications

  • 3+ years of program or project management experience
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience
  • Knowledge of Excel (Pivot Tables, VLook Ups) at an advanced level and SQL
  • Experience using data and metrics to determine and drive improvements
  • Experience working cross functionally with tech and non-tech teams

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, AZ, Phoenix - 74,200.00 - 129,800.00 USD annually
USA, TN, Nashville - 66,800.00 - 116,800.00 USD annually
USA, TN, Nashville - 74,200.00 - 129,800.00 USD annually
USA, TX, Dallas - 74,200.00 - 129,800.00 USD annually
USA, WA, Bellevue - 82,700.00 - 129,800.00 USD annually

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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