Sr Manager, Data Engineering, Intelligent Talent Acquisition

Amazon

Not Interested
Bookmark
Report This Job

profile Job Location:

Arlington, TX - USA

profile Yearly Salary: $ 182100 - 314800
Posted on: Yesterday
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

As part of Intelligent Talent Acquisition (ITA) Data team youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists engineers analysts product professionals and more all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity at the right location and at exactly the right time. Youll work on state-of-the-art research advanced software tools new AI systems and machine learning algorithms leveraging Amazons in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds toughest hiring problems.

The Sr Manager Data Engineering role in ITA is responsible for leading a portfolio of data engineering teams and services to solve multiple complex problems related to all aspects of hiring. The Sr Manager Data Engineering will partner with multiple stakeholders to efficiently deliver data infrastructure data modelling insights engineering for data science and model technical excellence in the data space. The role is a leader of multiple teams requiring proven people management experience with an ability to define and deliver strategy across a global technical ecosystem.

The ideal candidate will be passionate about simple and elegant software solutions customer-centric products and utilizing agile development processes. You will look at problems holistically beyond the borders of your team and thrive on solutions that require thinking at multiple levels from strategic to business tactical to system goals to specific interfaces. You create positive collaborative outcomes and ensure solutions are reliable scalable and secure and always keep the customers best interest in mind.


Key job responsibilities
As a senior manager of Data Engineering you will lead multiple teams of builders to define drive and deliver on Intelligent Talent Acquisition technology vision. Youll develop your team of highly motivated and talented builders who can collaborate with product managers software engineers scientists data experts and business leaders to build robust solutions. The primary responsibilities include:

1. Setting the org priorities while balancing customer stakeholder and business needs.
2. Defining the long term technical vision for the org that meets business needs in scalable ways.
3. Delivering high quality data engineering as well as rapid prototypes to gather user feedback and data.
4. Collaborating with product and business leaders to translate business needs to software solutions.
5. Hire and develop builders in the organization.

About the team
The Intelligent Talent Acquisition team has existed since 2019 and grew significantly to date through the combination of smaller engineering and analytics teams.

The team is diverse; its leadership team comes from engineering operations science I/O psychology and business intelligence backgrounds.

Intelligent Talent Acquisition is the largest data and science team involved in hiring at Amazon.

- Bachelors degree
- 8 years of data engineering experience
- 5 years of engineering team management experience
- Experience managing multiple projects and priorities across teams in a fast-paced deadline-driven environment
- Experience working with large global teams

- Experience working effectively with science data processing and software engineering teams
- Experience with HR processes and systems

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $182100/year in our lowest geographic market up to $314800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit
This position will remain posted until filled. Applicants should apply via our internal or external career site.


Required Experience:

Manager

As part of Intelligent Talent Acquisition (ITA) Data team youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of s...
View more view more

Key Skills

  • Illustration
  • Defence
  • HVAC
  • AJAX
  • Drafting
  • Customer Development

About Company

Company Logo

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more

View Profile View Profile