The Role:
General Motors is transforming how it operates through data — and the Analytics and Health Management team is at the center of that transformation. Our mission is to deliver analytics solutions that empower the organization to make data-driven decisions, providing the right information at the right time to leaders and engineers across Embedded Controls and the broader Software & Services organization.
We are looking for an Engineering Group Manager (EGM) to lead a multi-disciplinary team of Data Analysts, AI/ML Scientists, and Feature Engineers. This leader will guide the development and deployment of analytics products — dashboards, data pipelines, AI/ML models, and strategic decision-support tools — that directly enable operational efficiency and data-driven decision making across GM's embedded controls programs.
What You’ll do:
People Leadership
- Lead, coach, and develop a diverse team spanning Data Analysts, AI/ML Scientists, Data Engineers, and Business Strategists
- Foster an inclusive, high-performance culture grounded in GM's Winning Behaviors and Values
- Own performance management, career development, staffing, and succession planning for direct reports
- Serve as a champion and advocate for your team's work and impact across organizational boundaries
Analytics Product Delivery
- Oversee the end-to-end delivery of analytics products — from requirements definition through deployment and ongoing maintenance
- Guide the team in building dashboards, data pipelines, and analytical tools using Power BI, Databricks, Spark, Python, SQL, and cloud-native platforms (Azure, GCP)
- Ensure data solutions are accurate, scalable, and accessible, enabling a single version of truth across the organization
- Partner with stakeholders to translate ambiguous business needs into concrete analytics deliverables
AI/ML & Data Engineering Strategy
- Enable and support the team's AI/ML and data engineering capabilities, including model development, MLOps practices, and cloud-scale data pipelines
- Drive adoption of modern data practices — medallion architecture, Delta Lake, streaming pipelines, and automated workflows
- Identify opportunities to apply advanced analytics and AI/ML to business problems across portfolio planning, issue management, vehicle telematics, and program execution
Stakeholder Engagement & Strategic Influence
- Build and maintain strong relationships with business partners across Embedded Controls, Software & Services, and broader GM organizations
- Partner with your team to identify opportunities for analytics solutions and data-driven process improvements
- Represent the organization in cross-functional forums, leadership reviews, and strategic planning discussions
- Communicate team progress, priorities, and impacts clearly to leadership at all levels
Change Leadership
- Champion a data-first culture within GM, influencing how teams consume and act on data insights
- Drive continuous improvement in how the team operates — prioritization, backlog management, and delivery practices
- Support the team through growth and organizational change, helping members navigate evolving priorities
Your Skills & Abilities (Required Qualifications)
- Bachelor of Science in Engineering to include Data Science, Data Engineering, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, and Mechanical Engineering
- Minimum 7+ years of engineering experience related to embedded control systems, data analytics, related hardware, and/or safety critical system development
- Demonstrated results in successful project execution
- Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction and represent the organization in high level forums
- Demonstrated ability to make decisions regarding safety critical systems
- Working knowledge of the software development and delivery process, including design, coding, testing, calibration, and deployment of embedded content
What Will Give You A Competitive Edge (Preferred Skills)
- Master of Science in Data Science, Computer Science, Engineering, Mathematics, or a related field
- Leadership experience of teams of engineers including data analysts, data engineers, and AI/ML practitioners
- Familiarity with MLOps practices — model deployment, monitoring, and lifecycle management
- Experience in automotive or manufacturing domains, particularly with vehicle telematics, warranty analytics, or quality/issue management data
- Experience in working in an Agile development framework
- Leadership of teams of engineers responsible for developing or testing embedded control systems or related hardware
- Working knowledge of embedded controls development tool set – (e.g. IBM Rational Tool Suite, Jira/Jira Align, Git ecosystem)
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies
