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Sr Cluster Manager - QC , Amazon NOW

Amazon

Sr Cluster Manager - QC , Amazon NOW

Amazon

New Delhi, DL, IND

·

On-site

·

Full-time

·

1mo ago

The Senior Cluster Manager will oversee and manage day-to-day operations across multiple delivery clusters, ensuring optimal efficiency, service quality, and adherence to established operational standards and protocols. A critical aspect of this role involves building, recruiting, mentoring, and managing high-performing teams of delivery personnel, supervisors, and support staff while fostering a culture of accountability, continuous learning, and professional growth.

The incumbent will be responsible for tracking and analyzing key performance indicators (KPIs) including delivery times, order accuracy, customer satisfaction scores, and cost efficiency, implementing strategies to continuously improve operational metrics. Logistics and route optimization will be a core focus, requiring coordination and optimization of delivery routes, inventory distribution, and resource allocation to maximize delivery speed, reduce operational costs, and improve overall efficiency.

Quality assurance and compliance are paramount responsibilities, necessitating the implementation and maintenance of quality control measures, ensuring compliance with company policies, regulatory requirements, and safety standards across all clusters. The Senior Cluster Manager must drive customer-centric initiatives to enhance satisfaction levels, manage customer feedback, and resolve escalated issues promptly and professionally.

Financial stewardship is essential, as the role requires monitoring cluster budgets, optimizing resource allocation, controlling operational expenses, and ensuring profitability targets are met. The position demands strong stakeholder collaboration, working closely with cross-functional teams including finance, HR, technology, and senior management to align cluster operations with organizational objectives and strategic goals.

Finally, the Senior Cluster Manager will identify operational bottlenecks, analyze root causes, and implement data-driven solutions for continuous improvement and operational excellence. Regular preparation of performance reports, analysis of operational data, and presentation of actionable insights to senior management will support strategic decision-making and organizational growth.

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

$1.5T

Valuation

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

4 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

Junior/L3 · Warehouse

1 reports

$30,509

total per year

Base

$23,546

Stock

-

Bonus

-

$30,509

$30,509

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