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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - **Company:** Toyota Motor North America - **Location:** Plano, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Agile Methodology, Amazon Web Services, Data Analysis, Confluence, JIRA, Collaborative Software, Information Systems, Github, Python (Programming Language), Machine Learning, Team Foundation Server, Scrum Methodology, SQL Databases, Cloud Platform System, Information Technology, Data Analytics, Tools for Reporting, Data Pipelines - **Published:** August 12, 2026 - **Apply:** https://www.dice.com/job-detail/f0f56c63-ab97-40df-95cf-f2e8336880c5 ## About the Role 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., * 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 collaboration tools * Experience with data science concepts such as model development, experimentation, deployment, and monitoring * Experience with SQL, Python, reporting, dashboards, or analytics tools * Practical understanding of how data science products are built and operated - enough to write credible requirements, evaluate tradeoffs and be substantive counterpart to data scientists and ML engineers without building models directly Added bonus if you have * Experience with A/B testing or experimental design * Familiarity with machine learning lifecycle or MLE practices * Experience working with data pipelines, dashboards, or data quality processes * Experience in financial services or banking * Experience with cloud environments such as AWS ## Description 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. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [42 x 2 Canvases Later: Two Years, Two Minds, Many Lessons](https://www.wearedevelopers.com/videos/1458-42-x-2-canvases-later-two-years-two-minds-many-lessons) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [A Founder's Journey : From Startup Chaos to Purposeful Growth](https://www.wearedevelopers.com/videos/1926-a-founder-s-journey-from-startup-chaos-to-purposeful-growth) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)