Team Manager (L4), Ring Data Engineering Services

Overview

Team Manager (L4), Ring Data Engineering Services. 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."

Responsibilities

• Managing a team of ML Data Associates.
• Execute plans for the team to handle multiple ML queues within a defined process area.
• Identify risks and ensure proper escalation; maintain confidentiality and compliance.
• Responsible for meeting SLAs and task completion targets for specific queues within capacity limits.
• Collaborate with internal and external teams to achieve business goals.
• Analyze data to highlight trends and gaps; report key metrics.
• Present data during business meetings and reviews.
• Design and implement process improvement projects affecting team performance; participate in new workflow rollout projects.
• Provide guidance on work types and prioritization; manage straightforward objectives as well as ad hoc requests.
• Create and implement performance improvement plans for associates; offer regular coaching and feedback on quality, performance, behavior, and career development.
• Manage team performance based on metrics and deliverables.
• Hold team members accountable for performance, adherence to rules, and guidelines.
• Support hiring and training of new Associates.

A day in the life

• 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 of which, minimum 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.

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