General Motors is hiring a DataOps Manager in Markham!

  • Ontario

Job Description

This is a hybrid position within the Software Defined Vehicle (SDV) organization and does not require you to be onsite full time to perform most effectively. You are empowered to work remotely or on location as frequently as desired. The position may require occasional onsite work and travel based on business needs.

Do you imagine a world of zero crashes, zero emissions, and zero congestion? That’s our mission! To reach this ambitious goal we are creating the next generation vehicle compute platform. Ultifi is transforming the way automotive software is developed and deployed, creating a ubiquitous connection with cloud and edge resources.

As a leader in the SDV Data Analytics organization you will have the opportunity to work with a rich and rapidly growing dataset. The team you build and lead will manage the flow of data from Ultifi devices (vehicles, mobile, etc.) through to the delivery of business insights. Ensuring data quality and veracity will be key elements of work for your team. You will apply your experience in big data and cloud infrastructure to help your team manage a robust data pipeline.

Responsibilities:

  • Build and lead a highly engaged team focused on DataOps to support GM’s next generation vehicle software platform (Ultifi)
  • Improve the flow and quality of data for the current infrastructure, overseeing the end-to-end validation and veracity of data from the vehicle through to business insights.
  • Partner with analytics and engineering teams to ensure DataOps principles, capabilities, and efficiency of business insights are achieved.
  • Define and nurture the adoption of processes and methods, across the organization, that improve data creation and usage
  • Build a roadmap of strategic initiatives that demonstrates continued automation and growth in technical capability

Additional Job Description

Qualifications:

  • 3+ years of direct people leadership experience (Coaching, Talent Acquisition, Performance Management, etc.)
  • 3+ years managing Data Analytics, Data Science, or Data Engineering teams
  • 8+ years of industry experience in data engineering, DataOps, or data insights
  • Experience building a highly engaged and productive Data Engineering, DataOps, or DevOps teams
  • Experience with cloud infrastructure data management, data ingestion, and data storage
  • Experience with ETL tools and complex workflows in large-scale enterprise environments
  • Experience with Microsoft Azure tool chain and infrastructure
  • Master’s degree or equivalent experience in data science, engineering, mathematics, statistics/applied statistics, computer science or related quantitative field

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.






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