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Team Manager (L4), Ring Data Engineering Services

Team Manager (L4), Ring Data Engineering Services

AmazonHyderabad, Telangana, India
1 day ago
Job description

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

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

As Team Manager, you will be responsible for :

  • Managing a team of ML Data Associates.
  • Executes plans for the team to handle multiple ML queues within a defined process area.
  • Identifies risks and ensures proper escalation; maintains confidentiality and compliance.
  • Responsible for meeting SLAs and task completion targets for specific queues within capacity limits.
  • Collaborates with internal and external teams to achieve business goals.
  • Analyzes data to highlight trends and gaps; reports key metrics.
  • Presents data during business meetings and reviews.
  • Designs and implements process improvement projects affecting team performance; participates in new workflow rollout projects.
  • Provides guidance on work types and prioritization; manages straightforward objectives as well as ad hoc requests.
  • Creates and implements performance improvement plans for associates; offers regular coaching and feedback on quality, performance, behavior, and career development.
  • Manages team performance based on metrics and deliverables.
  • Holds team members accountable for performance, adherence to rules, and guidelines.
  • Support hiring and training of new Associates

A day in the life

As Team Manager, you will be responsible to :

  • Manage & monitor performance on job or queue adherence, volume, and quality
  • Support hiring and training of new Associates
  • Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis
  • Track quality and utilization metrics
  • Provide regular, formal & informal feedback to direct reports
  • Identify and help implement process-related improvement using methodologies
  • Communicate effectively

    • About the team

    Artificial General Intelligence Data Services (AGI DS) mission is to provide high-quality labelled data at high-speed and low-cost for machine learning (ML) technologies.

    BASIC QUALIFICATIONS :

    Bachelor Degree (Any Stream) or advanced college education or experience in a Leadership or related position with management.

  • Proficiency in verbal and written communication skills
  • Experience in understanding performance metrics and developing them to measure progress against key performance indicators
  • Overall 4+ yrs of work experience out of which, min 1+ yrs of people management experience
  • Must have driven process improvements in the current role

    • PREFERRED QUALIFICATIONS :

  • Experience with process improvement / quality control tools and methods
  • Demonstrated ability to lead diverse talent within a team, work cross-functionally, and build consensus on difficult issues
  • Excellent communication, strong organizational skills and very detail-oriented
  • 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

    • 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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    Manager Data Engineering • Hyderabad, Telangana, India