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Senior Manager

Amazon Jobs

Cambridge

On-site

GBP 70,000 - 90,000

Full time

Yesterday
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Job summary

A leading technology company is seeking a Data Solutions Lead Senior Manager in Cambridge, UK. The ideal candidate will oversee a diverse team focused on high-impact data collections to enhance General Intelligence models. Responsibilities include managing team performance, driving global program improvement, and collaborating with stakeholders to ensure effective delivery. The role requires 7+ years of management experience and a strong background in ML data operations. This position aims to create exemplary customer experiences through innovative data solutions.

Qualifications

  • 7+ years of people management experience.
  • 5+ years of experience in ML data operations.
  • Outstanding customer communication and management skills.

Responsibilities

  • Manage and monitor team performance in ambiguous situations.
  • Coordinate across global teams and influence stakeholders.
  • Drive customer adoption through exemplary customer experience.

Skills

Managing managers
Customer communication
Data annotation
Python
Command Line

Education

Bachelor’s degree in Computer Science, Business or related field
Job description

As a Data Solutions Lead Senior Manager you will oversee a diverse team of Data Collection owners across four sites in Europe. Your teams will be responsible for end to end execution of high impact data collections that drive improvement of General Intelligence models. You'll drive business value by ensuring your team is working efficiently and in an agile manager, tabling new approaches for our business to improve its speed and quality. You will have the technical acumen to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change at global scope.

What You’ll Do
  • Manage and monitor your team’s performance, creating a culture of ownership and agility in ambiguous situations
  • Bring structure to fast paced and challenging work
  • 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
Qualifications
  • Experience managing managers and global teams
  • 7+ years of people management experience
  • 5+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
  • Outstanding customer communication and management skills, especially in technical consultation
  • Working knowledge of JSON, Command Line, and Python- 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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

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

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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