Team Manager, AGI-DS, AGI DS

Amazon Machine Learning Data Team

Amazon is an E-Commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being "the world's 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 well-defined 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, well-defined objectives, but may take on ad hoc and ill-defined 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 team's mission is to provide high-quality labelled data at high-speed and low-cost for machine learning (ML) technologies.