Data Solution Lead Manager, Data Collection Excellence
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Were 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. Youll 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.
Youll 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
- 5 years of people management experience
- 3 years of project management including resource planning managing schedules reporting project status and prioritizing tasks experience
- Demonstrated experience in effectively defining optimal data creation strategies and executing them
- Associates 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
- Bachelors 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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. Youll 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.
Youll 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
- 5 years of people management experience
- 3 years of project management including resource planning managing schedules reporting project status and prioritizing tasks experience
- Demonstrated experience in effectively defining optimal data creation strategies and executing them
- Associates 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
- Bachelors 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
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Key Skills
- SQL
- Data Collection
- GCP
- Master Data Management
- R
- Data Management
- Clinical Trials
- User Acceptance Testing
- Data Warehouse
- SAS
- Oracle
- Data Analysis Skills
About Company
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