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Sr.Cluster Manager-Quick Commerce

Amazon

Sr.Cluster Manager-Quick Commerce

Amazon

New Delhi, DL, IND

·

On-site

·

Full-time

·

2w ago

Required Skills

Employee Management

Performance Management

Operations Management

Process Improvement

Job description: Are you interested in being part of a brand new Amazon initiative to redefine the way customer delivery takes place and to delight our customers and take your skills and career to the next level? Join the Last Mile Analytics and Quality (LMAQ) team which will work to establish new approaches to seamlessly curate and enhance data from Amazon’s global last mile delivery network to improve our geo-spatial data quality.
We are seeking a passionate, experienced operations manager to lead our image audit programs in Hyderabad, India.
She will be primarily responsible for
· Devise operational and business goals for the function that focuses on end-customer impact, productivity, accuracy, and speed to market.
· Establishes measurement, reporting and process excellence indicators for effective accomplishment of goals in core processes. Manages metric performance tactically and strategically;
· Sets appropriate operational and people goals for the team at all levels and holds them accountable; Owns processes, staffing, metrics and business updates for the function.
· Thinks long-term and establishes scalable/modular processes for easy adaptation to business scope changes. Manages complex problems, decisions, and escalations. Mitigates long-term risks. Finds a path forward in difficult situations. Makes trade-offs: short vs. long-term needs.
· Proactively identifies tool and system requirements that reduce operational defects; Ensures impact- and benefit-driven prioritization of process excellence projects.
· Works with inter-functional teams to streamline processes. Identifies and drives process excellence along with Program and Tech teams.
The ideal candidate will be organized, detail-oriented, and clearly communicate progress. She contributes to data quality improvement projects by proposing enhancements to tools and working on continuous improvement of business process that address key team pain-points to set them up for success. The person is a self-starter, set vision and manages teams and sets clear goals for team performance management. The person has track record of driving process excellence. Knowledge or experience in Six sigma, LEAN, DMAIC, Kaizen and/or statistical process control projects is a bonus.

Basic Qualifications

  • 2+ years of employee and performance management experience
  • Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience
  • Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

Preferred Qualifications

  • 1+ years of performance metrics, process improvement or lean techniques experience

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

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