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C. E. A.
Caltrans
Designs, builds, and maintains California's transportation systems.
The Chief Data and Artificial Intelligence Officer (CDAO) for the California Department of Transportation, responsible for developing and implementing policies, strategies, and operations for enterprise data management, analytics, data governance, digital transformation, and responsible for ethical use of Artificial Intelligence (AI) to optimize performance and drive innovation statewide.
21d ago
$13,472 - $15,297
Expert & Leadership (13+ years)
Full Time
Sacramento County, CA
Hybrid
Company Size
21,500 Employees
Service Specialisms
Engineering
Construction services
Project Management
Design
Technical Services
Consulting
Turnkey
General Contractor
Sector Specialisms
Heavy Civil
Transportation
Infrastructure
Water Resources
Energy
Industrial
Buildings
Residential
Role
What you would be doing
data governance
ai practices
regulatory compliance
strategic alignment
leadership
Provide examples from your work experience that demonstrate your ability to develop and lead enterprise-level data governance strategies. How would you ensure your organization’s data and AI practices align with statewide policies such as Executive Order N-12-23 and legislative mandates (e.g., SB 896, AB 2013) while supporting CalSTA’s Core Four priorities: Safety, Climate Action, Equity, and Economic Prosperity?
What you bring
std form
data governance
risk management
problem solving
soq exam
innovation
Current version of the State Examination/Employment Application STD Form 678 (when not applying electronically), or the Electronic State Employment Application through your Applicant Account at www.CalCareers.ca.gov. All Experience and Education relating to the Minimum Qualifications listed on the Classification Specification should be included to demonstrate how you meet the Minimum Qualifications for the position.
Provide examples from your work experience where you have successfully implemented a data governance framework or initiative in a large, complex organization. Describe specific challenges you have encountered around data quality, access, or compliance, and how you addressed them to ensure both organizational adoption and long-term sustainability.
Provide examples from your work experience that demonstrate how you have implemented risk management frameworks for emerging technologies such as AI/GenAI. Your response must specify how you were able to balance innovation with protecting sensitive information, addressing data bias, and maintaining public trust in your organization’s AI initiatives.
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