Manager I, Machine Learning Data Ops
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Analysis · DevOps
In short
Amazon is seeking a Manager I, Machine Learning Data Ops to lead a team of 20-25 employees in Delhi, India. This role involves managing daily operations, ensuring SLA adherence, driving continuous improvement, and fostering a high-performance culture. The ideal candidate has at least 4 years of experience, including 18 months in a team leadership role, and strong data handling and communication skills.
Responsibilities
- Lead, motivate, and manage a team of 20–25 associates engaged in ML data annotation operations.
- Ensure process deliverables per SLA and deliver on operational & qualitative KPIs.
- 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.
- Translate organizational vision into actionable goals and promote a culture of continuous learning.
- Communicate effectively with internal stakeholders and collaborate with remote, multi-cultural teams.
Requirements
- Graduate or equivalent.
- Minimum 4 years of experience, with at least 18 months as a team leader/manager.
- Proven leadership abilities with a track record of successfully managing and motivating teams.
- Excellent verbal and written communication skills in English.
- Very good presentation, feedback & coaching skills.
- Ability to observe, analyze and identify process improvement opportunities.
- Hands-on experience on 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.
- Comfortable with 24x7 rotational shifts.
- Knowledge of Microsoft Office products and applications, especially MS Excel & Word at an advanced level.
Desired Qualifications
- 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.
- 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.
Benefits
- Opportunities to join the Earth’s most customer-centric company.
- Opportunities to design workforce strategy and develop talent.
- Work in a fast-paced dynamic environment.
#Operations#Data#AI#Machine Learning#Leadership#Management#Team Lead