
Work hard. Have fun. Make history.
Data Solutions Lead, Senior Manager, Data Collection Excellence
福利待遇
•医疗保险
•401k
•股权
•通勤补贴
必备技能
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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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
10条评价
3.4
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.0
职业发展
3.8
管理层
2.7
65%
推荐率
优点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
薪资范围
4个数据点
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份报告
$181,968
年薪总额
基本工资
-
股票
-
奖金
-
$154,672
$209,264
面试评价
6条评价
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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