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Data Solutions Lead, Senior Manager, Data Collection Excellence

Amazon

Data Solutions Lead, Senior Manager, Data Collection Excellence

Amazon

Cambridge, GBR

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Healthcare

401(k)

Equity

Commuter Benefits

Healthcare

401k

Equity

Commuter

Required Skills

People management

Team management

ML data operations

Data annotation

Customer communication

Technical consultation

As a Data Solutions Lead Senior Manager you will oversee a diverse team of Data Collection owners across four sites in Europe. Your teams will be responsible for end to end execution of high impact data collections that drive improvement of General Intelligence models. You'll drive business value by ensuring your team is working efficiently and in an agile manager, tabling new approaches for our business to improve its speed and quality. You will have the technical acumen to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change at global scope.

What You'll Do:

Manage and monitor your teams performance, creating a culture of ownership and agility in ambiguous situations
Bring structure to fast paced and challenging work
Own global program improvement initiatives for the Data Collection Excellence Organization
Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.

You'll also:

Act as an escalation point for challenging data collections, directly assisting senior level customers and your team.
Collaborate with product and technology teams to implement effective long term solutions
Consolidate customer feedback and translate it into improvement initiatives

Basic Qualifications

  • Experience managing managers and global teams
  • 7+ years of people management experience
  • 5+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
  • Outstanding customer communication and management skills, especially in technical consultation
  • Working knowledge of JSON, Command Line, and Python

Preferred Qualifications

  • Bachelor's degree in Computer Science, Business or a related field
  • 2+ years of technical support experience, or experience in leadership or account management positions
  • Background in customer success or solution consulting

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

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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

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0 reports

$181,968

total / year

Base

-

Stock

-

Bonus

-

$154,672

$209,264

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