Chief AI Officer Program

• Bridge business goals with AI strategy to drive measurable impact

• Identify value-creation opportunities and enable new business models

• Quantify ROI, costs, and risks of AI initiatives in business terms

• Design a prioritized AI roadmap to advance organizational objectives

• Build compelling business cases and gain stakeholder buy-in

• Applied project: Create and present a full AI strategy for your organization, from situational analysis to business case and implementation roadmap

• Explore modern data infrastructures, technologies, and best practices for AI

• Assess organizational data strategy and maturity to identify gaps and improvements

• Evaluate costs, risks, and value of data economies to inform AI project ROI

• Learn data collection, storage, and quality frameworks for reliable model training

• Apply principles of data pipeline design, MLOps, and governance for scalable AI

• Applied project: Design a tailored data infrastructure strategy to support AI initiatives

• Explore trends shaping AI deployment and scalability across organizations

• Identify AI system types and architectures best suited for specific business applications

• Evaluate strategic AI investment decisions: build, buy, partner, or M&A

• Manage AI product lifecycles and scale solutions across business units

• Apply xOps, AIOps, and governance frameworks for enterprise AI adoption

• Balance cloud and edge AI strategies to optimize cost, performance, and regulatory compliance

• Translate AI vision into an enterprise investment thesis aligned with KPIs

• Prioritize and roadmap AI use cases using structured scoring frameworks

• Design AI operating models and responsible governance frameworks

• Evaluate build-vs-buy economics, vendor strategies, and total cost of ownership

• Lead organizational change, talent upskilling, and adoption of AI-driven culture

• Track and communicate AI value through KPI dashboards and implementation roadmaps

• Design and implement AI governance frameworks aligned with strategy and regulations

• Develop and maintain AI policy portfolios with cross-functional input

• Assess and mitigate AI risks using NIST and OWASP frameworks

• Embed governance through collaboration with legal, compliance, HR, and innovation teams

• Lead AI innovation and investment strategies while managing risk

• Communicate complex AI governance issues to boards and executives

• Applied project: Build a tailored AI governance framework and deliver a board-level presentation

• Communicate vision and value to senior leaders and stakeholders.

• Strengthen brand and influence as a C-suite member.

• Foster collaboration between the CAIO and other CXOs.

The program spans several months, with specific dates and durations provided upon application. Participants should expect a commitment that balances with their professional responsibilities.

The program fee is $28,000 USD. Discounts may be available; it's advisable to contact the admissions team for the most current pricing and potential financial assistance.

The CAIO Program is designed for executives and senior leaders, including but not limited to:

• Leaders in data science and analytics

• Directors of technology and data analytics

• Chief analytics officers and chief data officers

• C-suite executives such as CIOs, CTOs, COOs, CISOs, CDOs, and chief product officers.

Applicants should have significant professional experience in leadership roles, particularly in areas related to data, technology, or AI. Specific requirements may vary, and it's recommended to consult the admissions team for detailed eligibility criteria.

Participants who successfully complete the program will earn a Certificate of Completion from Chicago Booth Executive Education and a digital badge to showcase their achievement.

Applications can be submitted online through the program's official webpage. It's advisable to apply well in advance of the desired cohort start date to ensure ample time for processing.

Yes, the program includes opportunities for networking with peers, faculty, and industry leaders. These interactions are designed to foster collaboration and knowledge sharing among participants.

The hybrid format allows for remote participation in online modules and live sessions. The in-person component may require travel to designated locations; details will be provided upon enrollment.