Staff Product Owner: Motorsports Analytics & Data

Motorsport Media Ltd; Austin (TX); Hybrid; USD 120,000 - 190,000; Full time

Job summary

General Motors, a leader in automotive innovation, is seeking a Staff Product Owner to drive the strategy, roadmap, and delivery of GM Motorsports data and analytics products. You will lead cross‑functional teams across data science and data engineering, translating stakeholder needs into actionable backlogs and measurable outcomes in a fast-paced environment.

The role emphasizes disciplined outcome measurement, collaboration with Strategy, Vehicle Performance, and Competition Engineering, and

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data/Analytics, Business, or related field; or equivalent experience.
• 8+ years experience in product management/ownership roles.
• Experience defining product vision, roadmaps, and managing complex backlogs.
• Experience as Product Owner/scrum lead for agile teams (data/analytics/software).
• Strong cross-functional collaboration and executive communication.

Responsibilities

• Serve as the accountable Product Owner for cross-functional data science and data engineering teams.
• Own and maintain the product vision, roadmap, and backlog for motorsports analytics and data products.
• Act as scrum lead: backlog refinement, sprint planning, reviews, retrospectives, and acceptance criteria.
• Collaborate with stakeholders to translate requirements into features and experiments.
• Define and track product KPIs and adoption metrics to inform roadmap decisions.
• Mentor other product owners and contribute to agile practices across the organization.

Skills

Product Ownership

Agile / Scrum

Stakeholder Management

Data Analytics

Cross-functional Leadership

Communication

Education

Bachelor's degree

Job description

General Motors, a leader in automotive innovation, is seeking a Staff Product Owner to drive the strategy, roadmap, and delivery of GM Motorsports data and analytics products. You will lead cross‑functional teams across data science and data engineering, translating stakeholder needs into actionable backlogs and measurable outcomes in a fast-paced environment.

The role emphasizes disciplined outcome measurement, collaboration with Strategy, Vehicle Performance, and Competition Engineering, and