トレンド企業

Amazon
Amazon

Work hard. Have fun. Make history.

Data Solution Lead Manager, Data Collection Excellence

職種データサイエンス
経験リード級
勤務地Gdansk, Poland
勤務オンサイト
雇用正社員
掲載3ヶ月前
応募する

福利厚生

健康保険

401k

育児休暇

通勤手当

必須スキル

Python

JSON

Command Line

Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team!

About the Role:

As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them.

Key job responsibilities
Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations
Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products
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

A day in the life
The minimum base pay salary for this position is listed below. Amazon reserves the right to offer a higher base salary, depending on the candidate's skills, competencies, and experience. As a total compensation company, Amazon's package may include further pay components such as a sign on payment, the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA, and sales incentives where applicable. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements. Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, Multi Sport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being). The minimum base pay for this position is PLN 16,233 monthly.

Basic Qualifications

  • 5+ years of people management experience
  • Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks
  • Demonstrated experience in effectively defining optimal data creation strategies and executing them
  • Associate's degree or equivalent work 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.

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.

閲覧数

0

応募クリック

0

Mock Apply

0

スクラップ

0

Amazonについて

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+

従業員数

Seattle

本社所在地

$1.5T

企業価値

レビュー

10件のレビュー

3.4

10件のレビュー

ワークライフバランス

2.5

報酬

4.2

企業文化

3.0

キャリア

3.8

経営陣

2.7

65%

知人への推奨率

良い点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

改善点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

給与レンジ

4件のデータ

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L4

0件のレポート

$181,968

年収総額

基本給

-

ストック

-

ボーナス

-

$154,672

$209,264

面接レビュー

レビュー6件

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 17%

ネガティブ 83%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge