Senior Product Owner — Motorsports Analytics & Data

General Motors; Charlotte (NC); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Relocation benefits

Hybrid work model

Job summary

General Motors’ GM Motorsports data and analytics team seeks a Senior Product Owner to drive the product strategy, roadmap, and delivery for motorsports analytics across NASCAR, IndyCar, and other racing programs. You will lead cross-functional teams, partner with stakeholders, and translate needs into actionable roadmaps while maintaining backlog priorities.

The role requires strong product ownership, scrum leadership, and a deep understanding of data science concepts.

Qualifications

• 5+ years experience in product management/ownership roles.
• Experience as Product Owner and/or scrum lead for agile teams (e.g., data, analytics, software).
• Ability to influence without formal authority with technical and non-technical stakeholders.
• Strong knowledge of data science and data engineering concepts.

Responsibilities

• Own and maintain the product vision, roadmap, and backlog for motorsports analytics and data products, aligning to business strategy and measurable outcomes.
• Serve as the accountable Product Owner for cross-functional data science and data engineering teams.
• Act as scrum lead for both teams and partner with stakeholders.
• Define solutions with data scientists/engineers that are feasible, scalable, and compliant with enterprise standards.

Skills

Product Ownership

Scrum Leadership

Cross-functional Collaboration

Stakeholder Management

Data Concepts

Education

Bachelor’s degree or equivalent in Engineering/CS/Data/Analytics

Tools

Data Pipelines

Analytics Software

Data Engineering Concepts

Job description

General Motors’ GM Motorsports data and analytics team seeks a Senior Product Owner to drive the product strategy, roadmap, and delivery for motorsports analytics across NASCAR, IndyCar, and other racing programs. You will lead cross-functional teams, partner with stakeholders, and translate needs into actionable roadmaps while maintaining backlog priorities.

The role requires strong product ownership, scrum leadership, and a deep understanding of data science concepts.