drjobs Team Manager AGI-DS AGI DS

Team Manager AGI-DS AGI DS

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1 Vacancy
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Job Location drjobs

Boston - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Amazon is an ECommerce and Cloud Computing company with headquarters in Seattle Washington. Since 1995 Amazon has focused on being the worlds most customer centric company.

Key job responsibilities
Manages team size of approximately 25 ML Data Associates.
Executes plans for team to perform tasks related to multiple ML workflows in a welldefined process area.
Ensures ML data workflows are quality compliant. Analyzes ML data SIM issues and metrics. Highlights trends gaps etc. Provides status reports.
Identifies risks and ensures escalations reach the right people. Adherence to confidentiality and compliance requirements
Responsible for known SLAs and task completion targets (within provided capacity) for specific customers.
Works with internal/ external teams and uses his/her knowledge and expertise to execute business goals
Uses data to set/revisit operational goals and manage activities
Manages escalation/ complex tickets; analyzes data; highlights trends gaps etc.; and reports key metrics
Presents data in business meetings/reviews
Design and implement process improvement projects that impact team level performance. Participates in new workflow roll out projects teams.
Coaches direct reports on demonstrating leadership principles in their role.
Assigns appropriate challenging work to employees to develop & prepare them for larger roles.
Provides team guidance on work types and prioritization. Work of team primarily focuses on straightforward welldefined objectives but may take on ad hoc and illdefined requests.
Devises and implements performance improvement plans for associates. Provides regular coaching and feedback to direct reports with regard to quality performance behavior and career development.
Performance manages team based on metrics & deliverables on a regular basis and make decisions on hiring & firing.
Holds team members accountable for performance based on metrics and adherence to rules and guidelines.

About the team
Our teams mission is to provide highquality labelled data at highspeed and lowcost for machine learning (ML) technologies.

Bachelors Degree in a relevant field such as Business Administration Liberal Arts Sciences Computer Science Engineering Social Sciences Visual and Performing Arts or Communication.
Experience managing high performing teams of up to 2025 direct reports
Strong proficiency in English across verbal written reading and comprehension skills.
Experience with process improvement/quality control tools and methods Demonstrated ability to lead diverse talent within a team work crossfunctionally and build consensus on difficult issues Strong interpersonal analytical and communication skills.
Strong interest in hiring and developing people in their respective roles
Leadership experience in coaching and performance management
Experience in managing process and operational escalations
Experience with aspects of speech and language technology
Demonstrated passion for delivering a positive customer experience and maintain composure in ambiguous and difficult situations

Masters Degree in a relevant field
Working Knowledge of Machine Learning
Familiarity with Large Language Models
Experience working in ambiguous roles

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Manager

Employment Type

Full-Time

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