Caltrans Seeks New Data and AI Officer to Drive Policy and Innovation

What's Happening?

The California Department of Transportation (Caltrans) is actively recruiting for a new Chief Data and Artificial Intelligence Officer (CDAO). This position has been temporarily filled by Dara Wheeler since May 2025, who previously served as the department's Chief of Research, Innovation, and System Information. The role is crucial for overseeing the development and implementation of policies related to enterprise data management, analytics, data governance, and digital transformation. The CDAO will also be responsible for ensuring the ethical use of AI within the department. The position reports to the Chief Deputy Director and collaborates with the department's Chief Information Officer. The recruitment is part of Caltrans' broader initiative to integrate AI into its operations, following a 2024 executive order that included partnerships with Accenture and Deloitte to enhance roadway safety.

Why It's Important?

The appointment of a new CDAO at Caltrans is significant as it underscores the growing importance of data and AI in public sector operations. The role is pivotal in shaping how AI is used to improve transportation safety and efficiency across California. By focusing on ethical AI use, Caltrans aims to set a precedent for responsible AI integration in government agencies. This move could influence other states to adopt similar positions, potentially leading to a nationwide shift in how AI is utilized in public infrastructure projects. The successful implementation of AI strategies could lead to reduced roadway injuries and fatalities, benefiting millions of Californians and setting a benchmark for transportation departments across the U.S.

What's Next?

Caltrans is expected to continue its search for a visionary leader who can drive its enterprise data strategy and accelerate the responsible use of AI. The new CDAO will likely focus on expanding AI applications within the department, potentially exploring new partnerships and pilot projects. As the role is critical to the department's future operations, the selection process will be closely watched by industry stakeholders and other government agencies. The outcome could influence future AI policy development and implementation strategies within the public sector.