Data Solution Lead Manager, Data Collection Excellence

Amazon

Hyderabad

On-site

INR 1,800,000 - 3,200,000

Full time

48 hours ago
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Job summary

Amazon in Hyderabad is seeking a Data Solutions Lead Manager who will manage a team of Data Collection owners delivering ML data collections and end-to-end execution. You’ll drive value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers.

If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our

Qualifications

  • 5+ years of people management experience.
  • Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks.
  • Experience leading and influencing the data strategy of your team or organization.
  • Bachelor’s degree in a relevant field or equivalent work experience.
  • Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities.
  • 5+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts.
  • Working knowledge of JSON, Command Line, and Python.

Responsibilities

  • Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations.
  • Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products.
  • Own global program improvement initiatives for the Data Collection Excellence Organization.
  • Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery.
  • Monitor and optimize collection health metrics to ensure customer success.
  • Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
  • Act as an escalation point for challenging data collections, directly assisting senior level customers and your team.
  • Collaborate with product and technology teams to implement effective long term solutions.
  • Consolidate customer feedback and translate it into improvement initiatives.

Skills

People management
Project management
Data strategy
Customer service
ML data operations
JSON
Command Line
Python
Technical support
Customer success / consulting

Education

Bachelor’s degree or equivalent
Bachelor’s degree in Computer Science

Job description

Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team!

About the Role:

As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them.

Key job responsibilities
  • Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations
  • Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products
  • Own global program improvement initiatives for the Data Collection Excellence Organization
  • Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery
  • Monitor and optimize collection health metrics to ensure customer success
  • Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You’ll also:
  • Act as an escalation point for challenging data collections, directly assisting senior level customers and your team.
  • Collaborate with product and technology teams to implement effective long term solutions
  • Consolidate customer feedback and translate it into improvement initiatives
Basic Qualifications
  • 5+ years of people management experience
  • Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks
  • Experience leading and influencing the data strategy of your team or organization
  • Bachelor’s degree in a relevant field or equivalent work experience
  • Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • 5+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
  • Working knowledge of JSON, Command Line, and Python
Preferred Qualifications
  • Bachelor’s degree in Computer Science, Business or a related field
  • 2+ years of technical support experience, or experience in leadership or account management positions
  • Background in customer success or solution consulting

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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