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.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

This position is an onsite role based in Plano, TX

Who we’re looking for
he TFS Enterprise Architecture team is looking for a highly motivated and qualified Enterprise Architect, Data/AI to lead the development and execution of our enterprise data strategy.  Reporting to the Chief Architect, the Enterprise Architect, Data/AI will be a key leader in driving world-class data solutions across all IT domains.  This role requires a hands-on leader capable of both developing solutions and effectively communicating them to executive leadership.

• Lead and facilitate in-depth technology discussions and workshops across various teams, clearly articulating and presenting technology alternatives and recommendations to stakeholders at all levels.
• Stay up-to-date with industry trends and technologies in their fields to make sure our solutions are kept cutting-edge
• Drive innovation in their field, conducting Proof of Concept in collaboration with other architects and engineers
• Create and help in the adoption of relevant technology roadmaps, requirements, patterns, and practices for their respective area of focus to build best in class applications.
• Direct the creation of standards, re-usable components, and design patterns and propose solutions to meet business needs.
• Conduct training and coach teams on selected technology and adopted requirements.

In addition, as a Data SME Architect you will have the following responsibilities:

• Maintain our Data Strategy to support modern Data and AI Products in collaboration with our Data Engineering and Data Science organization
• Drive the creation of our next generation Data Platform to support real-time operational solutions as well as data analytical workloads
• Provide technical leadership in creating our Machine Learning platform in collaboration with our platform team and Data Science team to support new AI technologies like GenAI
• Ensure data governance and risk guardrails and policies are appropriately integrated into our data architecture
• Ensure data governance and risk guardrails and policies are appropriately integrated into our data architecture

What you bring

• Bachelor’s Degree (or higher).
• Solid technology platform architecture experience driving highly scalable data solutions in a hybrid cloud environment (AWS preferred)
• Solid background in data modeling, cloud-based data solution, data visualization using technology like Tableau, Prometheus, Power BI, Graphana
• Solid knowledge of Data Governance and Data Risk practices.
• Solid knowledge of SQL and NoSQL datastores like MySQL, Oracle, MongoDB, DynamoDB, RDS.
• Solid knowledge of Streaming and Real-Time Stream Processing platforms like Kafka, RabbitMQ, Flink, Spark…
• Solid knowledge of Data Pipelines and Data Lakehouse solutions inclusive of Data Brick, Snowflake, Fabric, Iceberg...
• Experience in Data analysis and Data science toolset like Jupyter notebook, Python,
• Know how to navigate the ethical AI practices and ensuring compliance with data protection regulations
• Practical experience in designing AI applications and knowledge of machine learning frameworks/platforms like AWS SageMaker, TensorFlow, PyTorch
• Experience partnering with engineers, architects and platform teams to drive and deliver end-to-end technical architecture & automated developer experiences.
• Well-versed in architecting solutions using CI/CD pipelines for full automation

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 develop