[Hiring] Manager I, Machine Learning Data Ops @Amazon

Role Description

Want to join the Earth’s most customer centric company? Are you someone who likes to design the right workforce strategy to meet long-term process targets? Do you like to develop the talent to create a high performing team? If yes, we have opportunities for you. Global Operations - AI (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment.

Manager I / Front line manager is accountable for the overall direction and operations of our site with a team of 20-25 employees, creating a culture of customer obsession, high performance, and high-quality throughput.

Qualifications

• Should be a Graduate or equivalent
• Minimum 4 years of experience, out of which 18 months should be as team leader / team manager
• Proven leadership abilities with a track record of successfully managing and motivating teams
• Excellent / Very Good verbal and written communication skills in English
• Very good Presentation, Feedback & Coaching skills
• Ability to observe, analyze and identify process improvement opportunities
• Highly energetic & enthusiastic
• Should be able to lead by example
• Hands-on experience with MS-Office, preferably on MS-Excel and PowerPoint
• Ability to prioritize tasks, manage multiple responsibilities, and ensure deadlines are met without compromising on quality
• Basic data handling and data interpretation skills
• Should be comfortable with 24x7 rotational shifts
• Ability to pull data from numerous databases (using Excel and other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus
• Communicating with internal customers (ACES, Training, Quality etc.) – Drive and execute bar-raising initiatives aimed at hiring and developing top talent and build career development road-map for the associates

Requirements

• Lead, motivate, and manage a team of 20–25 associates engaged in ML data annotation operations from virtual or work-from-office spaces; scale and transition across 2–3 programs based on business needs
• Ensure process deliverables per SLA and deliver on operational & qualitative KPIs (APL, SPL, Quality scores); conduct regular 1:1s and team performance reviews
• Generate reports on team performance and SOPs, and provide actionable insights to Senior Leadership
• Drive continuous improvement by contributing to the development of audit methodologies, checklists, and test frameworks to enhance data generation productivity
• Translate organizational vision into actionable goals; promote a culture of continuous learning and build career development roadmaps for associates
• Communicate effectively with internal stakeholders (ACES, Training, Quality) and collaborate with remote, multi-cultural teams to execute bar-raising initiatives

Benefits

• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
• Knowledge of Microsoft Office products and applications, especially MS Excel & Word at an advanced level

Basic Qualifications

• Should be a Graduate or equivalent
• Minimum 4 years of experience, out of which 18 months should be as team leader / team manager

Preferred Qualifications

• Experience in managing critical operational processes with SLA responsibility in an ML/AI data operations environment
• Knowledge of databases (SQL, MySQL) and Advanced Excel; experience working with and analyzing large datasets to drive business improvements
• Familiarity with ML data annotation workflows, labeling tools, or AI/ML program operations
• Knowledge of Lean Six Sigma tools or Green Belt certification
• Experience working in geographically distributed, multi-cultural team environments
• Ability to perform ad hoc reporting, pull data from multiple systems, and translate insights into operational decisions