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General Motors Australia & New Zealand is seeking a Scrum Leader for its Chassis Analytics software design team, focusing on data analysis and machine learning in the automotive domain. The ideal candidate will facilitate scrum ceremonies, manage a team of engineers, and collaborate across various departments to create software solutions while promoting agile practices and continuous improvement.
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Job Summary
The role involves leading a scrum team of 6-12 engineers to design cloud-based software solutions for chassis analytics and vehicle dynamics.
Candidates must facilitate all Scrum ceremonies, guide the team on writing user stories using the INVEST method, and continuously challenge development practices to improve quality and velocity.
General Motors offers a competitive salary range of $129,400 to $206,950 along with comprehensive health, retirement, and vehicle discount benefits.
Matching Summary
Match Score: 75
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General Motors Australia & New Zealand is seeking a Scrum Leader for its Chassis Analytics software design team, focusing on data analysis and machine learning in the automotive domain. The ideal candidate will facilitate scrum ceremonies, manage a team of engineers, and collaborate across various departments to create software solutions while promoting agile practices and continuous improvement.
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Salary
Base: $129,400 - $206,950; Bonus: Incentive pay based on performance; Benefits: Medical, dental, vision, 401k, tuition assistance, vehicle discounts
Skills & Requirements
Must-have
5+ years Agile or Scaled Agile experience
Jira tool proficiency required
Facilitate Scrum ceremonies and PI Planning
Coach teams on INVEST method and story points
Eliminate impediments and manage cross-team cooperation
Nice-to-have
Experience with Databricks and Power-BI platforms
Knowledge of GM Vehicle Development Process
Understanding of electrification and diagnostics
Background in Controls & Software passion
Experience with automated test tools
Key Requirements
Minimum 5+ years technical and professional experience
BS in Electrical, Mechanical, Computer Engineering or Computer Science preferred