Staff Product Owner – Motorsports Analytics & Data

General Motors; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

General Motors is seeking a Staff Product Owner to lead strategy, roadmaps, and delivery for Motorsports data analytics products across NASCAR and IndyCar. You’ll own the product vision, align with business goals, and lead cross-functional teams including data science and data engineering.

Strong stakeholder management and agile leadership are essential for delivering high-impact, scalable solutions. The role requires coordinating with Strategy, Vehicle Performance, and Competition Engineering,

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data/Analytics, Business, or related field.
• 8+ years experience as a product manager, product owner, business analyst, systems analyst, or similar role.
• Demonstrated experience serving as a Product Owner and/or scrum lead for one or more agile teams (e.g., data, analytics, software).

Responsibilities

• Serve as the accountable Product Owner for cross-functional data science and data engineering teams supporting GM Motorsports.
• Own and maintain the product vision, roadmap, and prioritized backlog for motorsports analytics and data products, aligning to business strategy and measurable outcomes.
• Act as scrum lead for both teams: facilitate backlog refinement, sprint planning, reviews, and retrospectives; ensure clear user stories and acceptance criteria; remove impediments.

Skills

Product Owner

Scrum lead

Data science

Data engineering

Stakeholder management

Cross-functional collaboration

Education

Bachelor’s degree in Engineering/CS/Data Analytics/Business

Tools

Databricks

Spark

Kafka

Job description

General Motors is seeking a Staff Product Owner to lead strategy, roadmaps, and delivery for Motorsports data analytics products across NASCAR and IndyCar. You’ll own the product vision, align with business goals, and lead cross-functional teams including data science and data engineering.

Strong stakeholder management and agile leadership are essential for delivering high-impact, scalable solutions. The role requires coordinating with Strategy, Vehicle Performance, and Competition Engineering,