Amazon

Sells products online and rents cloud computing

Manager 1 – ML Data Operations

Business OperationsConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

A graduate degree in any discipline is required.
At least 4 years of work experience, including at least 1 year of direct people-management experience, is required.
The candidate must demonstrate high attention to detail and the ability to manage multiple competing priorities simultaneously.
The candidate must be well versed in employee development and performance management strategies, including performance reviews, goal setting, and providing feedback.
The candidate must be able to work cross-functionally with employees across teams that have different skill sets.
The candidate must be able to report and analyze data and confidently use Microsoft Office, especially Excel at intermediate to advanced level.
The candidate must be confident working with large volumes of data.
The candidate must demonstrate the ability to initiate and drive process improvements.

Responsibilities

Lead a team of 20 to 25 associates who are proficient in languages other than English and have expertise in one or more processes or functions, meeting operational and business goals.
Drive initiatives across sites for process improvements and formulation of standard operating procedures and guidelines, and provide data insights as needed.
Execute plans to deliver business metrics, use data to set and revisit operational goals, and manage activities.
Manage escalations, analyze data, identify trends and gaps, and report key metrics.
Prepare data for business meetings and reviews, and present it to senior managers and stakeholders.
Plan capacity and commit to volume by managing resources, queues, shift management, cross-training, and leave management.
Own and prioritize work allocation according to business needs on a daily and monthly basis.
Own the output quality of the managed process.
Perform deep-dive analyses and create correction-of-error reports based on deviations, problems, root causes, and solutions.
Initiate and lead process-improvement projects, present solution proposals, and implement them in applicable operational areas.
Participate in business reviews and provide support to mid-level and senior leadership.
Participate in onboarding new processes or experiments, with complete documentation.
Participate in or own modules of solution building for business-process setup, front-line operations setup, cross-functional process activities, and tool-build documentation.
Apply performance and leadership standards effectively to team members and new hiring decisions.
Build launch plans for new team members and track new joiners' progress through administration of those plans.
Provide regular coaching and feedback to direct reports.
Devise and implement performance improvement plans for associates as applicable.
Identify top performers, support their talent development, and create a leadership pipeline for the manager's level.
Work with sensitive issues, including adult content; religious and philosophically sensitive issues; tobacco; weapons; and other potentially offensive products.

Desired Qualifications

Experience in e-commerce, retail, or advertising is preferred.
Working knowledge of machine learning is preferred.
Lean Six Sigma certification or Green Belt training is preferred.
Familiarity with QuickSight and Tableau is preferred.

Description

Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services.

Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.

To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of Team Members or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If this opportunity excites you, join us to build innovative solutions and shape the future of search

Key job responsibilities
As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 20 to 25 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative 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:

* 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
* Owns the output quality of the process managed
* Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions
* 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
* Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc.
* 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
* Provides regular coaching and feedback to direct reports
* 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

Basic Qualifications

- Graduate degree in any discipline
- 4-6 years’ work experience with at least 1 year in managing people directly
- Demonstrated high attention to detail and proven ability to manage multiple competing priorities simultaneously
- 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 with different skill sets
- Proven ability to report and analyze data. Confident in using Microsoft Package (especially Excel at Intermediate to Advanced level)
- Confident to work with large volumes of data
- Demonstrated ability to initiate & drive process improvements

Preferred Qualifications

- Experience in e-commerce, retail or advertising
- Working knowledge of Machine learning
- Certified or Green belt trained in Lean Six Sigma
- Familiarity with tools like QuickSight and Tableau

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size: 10,001+
Company stage: IPO
Headquarters: Seattle, WA
Founded: 1994

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