National Manager, Data Engineering - Data Modeling & Data Product Development

Toyota Motors - Plano, TX

Full-time - Manager

Hybrid - Plano, TX

Transportation Equipment Manufacturing

About the position

The National Manager, Data Engineering - Data Modeling & Data Product Development at Toyota is a pivotal role that involves overseeing a team of data modelers, data architects, and data engineers. This position is focused on enhancing the efficiency and effectiveness of data teams by building the necessary tools and frameworks. The role is situated within Toyota Financial Services (TFS), which is integral to Toyota's vision of delivering exceptional customer experiences through innovative financial solutions. The manager will lead multiple large and complex initiatives, establishing a clear vision for data tooling that supports data engineers, software engineers, and analytic teams. In this role, the manager will develop tools and frameworks that streamline the development of data pipelines and solutions, enabling data engineering teams to work more effectively. The position also requires collaboration with global partners to create flexible solutions that can be utilized within TFS and partner organizations worldwide. The manager will own the enterprise data model and data modeling standards, ensuring that both real-time and batch data needs are met for analytics, data science, and applications. Additionally, the role involves driving collaboration with the Enterprise architecture team to address critical issues and oversee the development of integrated solutions across TFS data engineering. The National Manager will be responsible for ensuring that the right engineering practices are followed and that the outcomes align with organizational goals.

Responsibilities

• Lead multiple large and complex initiatives across Toyota Financial Services data engineering with a specific focus on data modeling, data architecture, and data tool & product development.
• Establish a clear vision and direction for data tooling for data engineers, software engineers, and our analytic teams.
• Enable our data engineering teams by developing tools and frameworks to streamline and accelerate the development of data pipelines and data solutions.
• Support our global partners by developing flexible solutions and platforms that can be used within Toyota Financial Services but also in partner organizations in other countries.
• Own the Enterprise data model and data modeling standards for both data engineering and software engineering teams.
• Develop and implement a data modeling strategy that supports both real-time and batch data needs for analytics, data science, and applications.
• Drive collaboration with the Enterprise architecture team on data architecture and represent data to that team by ensuring critical issues are covered by Enterprise architecture.
• Oversee the development of integrated solutions across Toyota Financial Services data engineering by ensuring the right engineering practices and outcomes.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Engineering, Data Science, or equivalent degree or work experience.
• Progressive work experience in Data Engineering, Software Engineering, Data Science, or related field or demonstrated expertise.
• Deep development experience in distributed, analytical, cloud-based and open-source technologies.
• Extensive programming experience in Python and/or Java, SQL.
• Extensive experience coding and implementing data pipelines in cloud-based data infrastructure, analytical and no-SQL databases (AWS, Snowflake, MongoDB, Postgres).
• Broad, practical experience and application of multiple, different data modeling techniques such as data vault and dimensional modeling across Enterprise domains.
• Broad experience with cloud-based services such as AWS, Azure or GCP or equivalent certification.
• Broad experience with docker and containerization.
• Experience with multiple database technologies including both SQL and NOSQL databases.
• Experience leading multiple development teams and senior engineers.
• Ability to develop and mentor both junior and senior engineers.
• Analytical and Problem-Solving skills with the ability to drive root cause analysis and implement corrective actions.
• Experience working in IT delivery and managing cross functional testing teams.
• Experience driving and leading change across a large organization.

Nice-to-haves

• Post-Graduate degree in Computer Science, Mathematics, Engineering, Data Science or Equivalent Degree or work experience.
• Experience in the Financial Services industry.
• Experience in leading large, complex initiatives across multiple technical disciplines.
• Ability to manage a large budget successfully.

Benefits

• Paid time off
• Paid holidays
• Tuition reimbursement
• 401(k)
• Relocation assistance
• Remote work