Engineering Group Manager - Analytics and Health Management
Top focus
Job Description 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
- develop a diverse team spanning Data Analysts, AI/ML Scientists, Data Engineers
- Business Strategists Foster an inclusive, high-performance culture grounded in GM's Winning Behaviors and Values Own performance management, career development, staffing
- 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
- analytical tools using Power BI, Databricks, Spark, Python, SQL
- cloud-native platforms (Azure, GCP) Ensure data solutions are accurate, scalable
- 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
- cloud-scale data pipelines Drive adoption of modern data practices — medallion architecture, Delta Lake, streaming pipelines
- automated workflows Identify opportunities to apply advanced analytics and AI/ML to business problems across portfolio planning, issue management, vehicle telematics
- program execution Stakeholder Engagement & Strategic Influence Build and maintain strong relationships with business partners across Embedded Controls, Software & Services
- 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
- strategic planning discussions Communicate team progress, priorities
- 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
- 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
- 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
- deployment of embedded content What Will Give You A Competitive Edge (Preferred Skills) Master of Science in Data Science, Computer Science, Engineering, Mathematics
- a related field Leadership experience of teams of engineers including data analysts, data engineers
- AI/ML practitioners Familiarity with MLOps practices — model deployment, monitoring
- lifecycle management Experience in automotive or manufacturing domains, particularly with vehicle telematics, warranty analytics
- 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 

- GM does not provide immigration-related sponsorship for this role.
- Do not apply for this role if you will need GM immigration sponsorship now or in the future.
- This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

- This role is categorized as hybrid.
- This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits.
- Any relocation costs would be the responsibility of the selected candidate.

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