Product Owner
Toyota North America
- Location
- Plano, Texas, 75024
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 11, 2026
Skills
About this role
Overview
Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future. Who we are – TFS The TFS Data Science team is seeking a highly motivated and experienced Data Science Product Owner to lead the strategy, prioritization, and delivery of enterprise data science products and capabilities. In this role, you will drive the evolution of high-impact data science solutions that enable advanced decision-making, scalable automation, and measurable business value across the organization. As a product owner, you will partner with business stakeholders, product leaders, data scientists, engineers, and cross-functional stakeholders to define the vision and execution approach for data science initiatives. Your expertise in product ownership, agile delivery, and data science concepts will allow you to translate enterprise business needs into a clear product strategy, ensuring solutions are aligned to organizational priorities and delivered with quality, speed, and impact What you’ll be doing Own and maintain the backlog for data science products, use cases, and enhancements. Translate business goals into user stories, requirements, acceptance criteria, and delivery priorities. Prioritize work based on business value, feasibility, risk, and dependencies. Gather and document requirements for machine learning models, analytics, predictive capabilities, and automated decisioning solutions. Ensure requirements capture data inputs, outputs, edge cases, business rules, success measures, and best practices. Partner with business leaders, product managers, data scientists, data engineers, QA, and technical teams to define scope and align priorities. Support agile ceremonies, sprint planning, backlog refinement, and release readiness. Coordinate dependencies, escalate risks, and manage blockers across teams. Define validation criteria and support testing of model performance, output quality, and business fit. Monitor KPIs, experiment results, adoption metrics, and business impact indicators. Maintain documentation for decisions, assumptions, release notes, change impacts, and governance traceability. What you bring Bachelor’s degree in business, Computer Science, Information Systems, Engineering, Data Science, Statistics, Mathematics, Economics, or a related field, or relevant experience 4+ years of relevant experience in product ownership, business analysis, analytics, or delivery coordination in a technical or data-driven environment Experience with and knowledge of Agile frameworks and product backlog management Experience using Jira, GitHub, Confluence, and similar