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Biz Ops Enablement , GM Field

Amazon

Biz Ops Enablement , GM Field

Amazon

Chengdu, 51, CHN

·

On-site

·

Full-time

·

1mo ago

Required Skills

Program management

Strategic planning

Process development

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. To serve the goal, Amazon has created one of the most advanced fulfillment and logistic networks in the world. Amazon Global Logistics in China is a team of highly experienced logistics professionals, product & program manager and carrier specialists actively participating in Amazon's international expansion goals.
We are seeking an experienced Biz Ops Enablement driving the development and readiness of our business operations for service initiating and evolving. It requires to identify gaps, develop programs, landing services, as well as executing against our business strategic priorities. This role is also responsible for improving productivity of business operations, ensuring customer facing teams have knowledge of available resources and curriculum necessary to effectively support our customers. The successful candidate will combine solid understanding of business insights and process knowledge with the ability to synthesize priorities and corporate resources into a comprehensive enablement plan.

  • Key job responsibilities
  • Perform detailed needs assessments in coordination with the Seller Operations, Sales, Product, Marketing, and Engineering. Translate business needs into training & enablement strategy, offerings and programs.
  • Create, develop, manage, and lead the successful execution of the cross-functional enablement programs in conjunction with program or product teams and stakeholders.
  • Develop and maintain an effective governance process and measurements focused on providing insights on performance and impact on readiness and program effectiveness.

Basic Qualifications

  • Minimum 4+ years of freight forwarding experience and 2+ years of program management experience or service enablement role with increasing influence and responsibility.
  • Systematic thinker that can take broad visions and concepts and develop structured plans, actions and measurable metrics and then execute those plans.

Preferred Qualifications

  • Good communications skills including, presenting, editing, and writing as well as accuracy and attention to detail required.
  • Experience in process improvement and program management skills with proven results

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

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