Product Owner

Toyota North America; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Team Member Vehicle Purchase Discount

Toyota 401(k) with company match

Paid holidays and paid time off

Health care and wellness plans

Job summary

Toyota North America is seeking a senior technical lead to coordinate Risk, Data Science, Data Engineering, and Data Stewardship initiatives focused on forecasting, modeling, and risk data priorities.

You will drive requirements, ensure data quality and lineage, and partner with governance to enable scalable model development in a fast-moving environment.

Qualifications

• Bachelor's degree in analytics or STEM fields.
• 5–10 years of relevant work experience.
• Experience leading cross-functional projects.
• Experience with data science and data engineering best practices.
• Project management and presentation skills including communicating strategic recommendations to management.

Responsibilities

• Lead enterprise and cross-functional initiatives across Risk, Data Science, Data Engineering, and Data Stewardship for forecasting, modeling, and risk data priorities.
• Define, coordinate, and drive business and technical requirements through implementation.
• Communicate complex technical concepts to senior stakeholders across functions.
• Serve as a senior technical authority for risk data inquiries and issue resolution.
• Collaborate with data engineering to design and improve data pipelines and model inputs.
• Partner with data science teams to evaluate and implement enhancements to forecasting models.
• Ensure the data environment is accurate, scalable, and fit for model development and operations.

Skills

Technical fluency

Project management

Business acumen

SQL

SAS

Python

Tableau

Education

Bachelor's degree in Analytics, Statistics, Finance, Accounting, Math, Computer Science, Economics, Engineering or similar analytical/STEM field

Tools

SQL

SAS

Python

Tableau

Job description

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’re looking for

The role reporting to the National Manager of Credit and RV Loss Forecasting will serve as a technical project lead and liaison between the Risk business unit, Data Science, Data Engineering, and Data Stewardship teams. A core part of the role is to support the enhancement of statistical models used for Residual Value and Credit Loss forecasting by coordinating requirements, facilitating implementation, and ensuring the necessary data infrastructure is in place. This includes working with Data Engineering to improve or build data pipelines, source inputs, output tables, and supporting data structures that feed model development and downstream risk processes.

In addition to model-support work, the role functions as the primary technical contact for Risk data inquiries and investigations. That includes responding to requests related to source data, data lineage, calculation logic, and data quality validation. The position also helps identify opportunities to improve existing workflows, analytical processes, and model-related operations, while partnering with business stakeholders and technical teams to execute those improvements.

The ideal candidate will require a blend of technical fluency, project management, and business acumen to ensure that risk data is accurate, traceable, and structured in a way that supports forecasting models and strategic decision-making.

What you’ll be doing

Lead enterprise and cross-functional initiatives across Risk, Data Science, Data Engineering, and Data Stewardship in support of forecasting, modeling, and risk data priorities.

Independently define, coordinate, and drive business and technical requirements through implementation, ensuring alignment to strategic objectives and operational needs.

Communicate complex technical concepts and business impacts clearly to senior stakeholders across functions

Serve as a senior technical authority for risk data inquiries, investigations, enhancements, and issue resolution.

Lead complex analysis of source data, lineage, calculation logic, and data quality to ensure accuracy, traceability, and integrity of risk information.

Partner with data science teams to evaluate, prioritize, and implement enhancements to Residual Value and Credit Loss forecasting models.

Collaborate with data engineering teams to design and improve data pipelines, table structures, model inputs, and downstream data dependencies.

Work to ensure the supporting data environment is accurate, scalable, and fit for model development and operational use.

Identify, influence, and help implement process and workflow improvements that strengthen forecasting effectiveness and operational efficiency.

Drive sustainable solutions that improve model support, data management, and decision-making capabilities across the risk organization.

Work with governance and stewardship stakeholders to maintain high standards for data quality, completeness, reliability, and fit-for-purpose use.

Partner across business and technical teams to align priorities, address risks, and ensure solutions are implemented effectively and sustainably.

Utilizing advanced written and verbal communication skills.

What you bring

Bachelor's degree in Analytics, Statistics, Finance, Accounting, Math, Computer Science, Economics, Engineering or similar analytical/ STEM field.

Minimum of 5– 10 years of relevant work experience .

Demonstrated experience leading cross functional project.

Experience with best practices for data science and data engineering.

Project management and presentation skills including proposing strategic recommendations to management and clearly articulating technical concepts to non-technical audiences.

Experience working directly with engineering teams in an agile environment to ensure that what is built matches your vision in the most effective way.

Extensive professional experience with both Excel and PowerPoint.

Practical experience with the uses, development and deployment of statistical models.

Experience with and the ability to engage technical audiences on the working level and to translate for executive stakeholders.

Experience with and the ability to apply business acumen to technical and analytical challenges — understanding how data, models, and processes directly influence business performance, risk exposure, and strategic goals.

Added bonus if you have

Experience in automotive or consumer finance

Advanced Degree

Experience building products that involve regulatory or compliance considerations

Experience with SOX controls

Significant experience with data analysis tools (SQL, SAS, Python, Tableau).

What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

A work environment built on teamwork, flexibility, and respect

Professional growth and development programs to help advance your career, as well as tuition reimbursement

Team Member Vehicle Purchase Discount

Toyota Team Member Lease Vehicle Program (if applicable)

Comprehensive health care and wellness plans for your entire family

Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable)

Paid holidays and paid time off

Referral services related to prenatal services, adoption, childcare, schools and more

Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to [e-mail] .

Toyota North America is a leading automotive manufacturer committed to quality, innovation, and creating career opportunities while advancing the future of mobility.

Motor Vehicle Manufacturing Transportation Equipment Manufacturing Manufacturing

Company size 10,001+ employees

Company type Public company Founded 1957

Total funding $4.5M Grant

Momentum

Team growth

Momentum

Team growth

7% in 12 mo

22,547 employees on LinkedIn

Feb 23 May 26

Employee experience

What it’s like inside

3.9

4,634 reviews

78% would recommend

Culture & values

Culture & values 4.0

Work-life balance

Work-life balance 3.6

Career opportunities

Career opportunities 3.8

Compensation & benefits 4.0

Capital

Funding history

Footprint

Where they work