DESCRIPTION

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Are you someone who cares about customer experience, do you have a passion for Operations Management and Machine Learning? If so, then we’re looking for you!
As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of approx 20 associates having expertise in one or more processes/functions and proficient in English. You will also be a driving initiatives across sites for process improvements, SOP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:

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
* 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
* 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
* Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products

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.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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.