Senior Risk Data Product Owner & Technical Lead

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

Benefits offered by this job

Vehicle Purchase Discount

Lease Vehicle Program

Health care and wellness plans

Flextime and virtual work options

401(k) with company match

Paid holidays and PTO

Tuition reimbursement

Job summary

Toyota is seeking a senior technical lead to coordinate risk data forecasting and model support across Risk, Data Science, Data Engineering and Data Stewardship in Plano, TX. You will align requirements, drive data pipelines, and ensure data infrastructure supports Residual Value and Credit Loss forecasting.

You’ll serve as the main technical contact for data inquiries, validate data quality, and collaborate with stakeholders to improve workflows and model operations.

Qualifications

• 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 engaging technical audiences and translating for executive stakeholders.
• Apply business acumen to technical and analytical challenges — understanding how data, models, and processes directly influence business performance, risk exposure, and strategic goals.

Responsibilities

• 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.

Skills

Leadership

Data Science

Data Engineering

Project Management

Excel

PowerPoint

Statistical Models

Agile

Communication

Business Acumen

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

Toyota is seeking a senior technical lead to coordinate risk data forecasting and model support across Risk, Data Science, Data Engineering and Data Stewardship in Plano, TX. You will align requirements, drive data pipelines, and ensure data infrastructure supports Residual Value and Credit Loss forecasting.

You’ll serve as the main technical contact for data inquiries, validate data quality, and collaborate with stakeholders to improve workflows and model operations.