Amazon Manager ML Data Operations Bedrock 

India, Karnataka, Bengaluru 

177168504

Key job responsibilities
* Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities
* Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics
* Prepares data in business meetings/reviews and presents to senior managers and stakeholders
* Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management
* Owns and prioritizes work allocation based on business needs with a daily/monthly frequency
* Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas
* Participates and provides adequate support in business reviews with mid-level and senior leadership
* Participates in new- process onboarding, i.e., new process/ experiments with complete documentation
* Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions
* Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism
* Devises and implements performance improvement plans for associates as applicable
* Identifies and works with top performers for talent development and creates a leadership pipeline for own level
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

• Bachelor's degree in a relevant field, such as Linguistics, Communications or data-related disciplines.
• 4-6 years’ work experience with at least 1 year in managing people directly
• Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback
• Ability to work cross-functionally and with employees across teams and geographies with different skill sets

• Certified or Green belt trained in Lean Six Sigma.
• Passion for language, linguistics, human language technology and AI.
• Knowledge of different domains such as Finance, Health Care, and Insurance.
• Familiarity with json, yaml, xml or other forms of text markup.