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Chief Technology and AI Officer Program

Lead AI and tech strategy at the C-suite and board level

  • Experience an immersive on-campus learning journey
  • Attend cutting-edge generative and agentic AI sessions
  • Explore AI tools and real-world industry applications
  • Join a curated C-suite peer network
Total Work Experience

Build enterprise readiness for an AI-first future with the Chief Technology and AI Officer Program

AI is no longer a technology decision; it is a board-level priority. As AI systems and generative AI become embedded across organizations, the role of the CTO extends beyond technical oversight to shaping business strategy, enterprise transformation, and long-term value creation at the C-suite and board level.

The Chief Technology and AI Officer Program from the Rotman School of Management is designed for senior executives and technology professionals like you leading this AI transformation. Over 6 months, through live online learning, real-world enterprise case studies and an immersive on-campus experience in Toronto, you will build the strategic frameworks and executive clarity to scale technology responsibly. You will learn to align AI strategy with business priorities and to unlock revenue streams, evaluate the scope and business relevance of generative AI in shaping competitive advantage and embed these technologies into core operating models.

By the end of the program, you will emerge prepared to translate AI ambition into enterprise-level strategy, investment decisions and measurable business outcomes—with the confidence to lead conversations at the C-suite and board level.

78%

of C-suite executives agree that maximizing agentic AI requires a fundamental redesign of their operating models, emphasizing human-agent collaboration.
Source: IBM

41,500

of new AI-related jobs are projected annually, underscoring the scale of workforce transformation underway in Canada.
Source: Deloitte

79%

of Canadian professionals use AI tools, and adoption is closely associated with productivity gains.
Source: Deloitte

Key takeaways

The Chief Technology and AI Officer Program will enable you to:

  • Formulate an enterprise technology, AI and gen AI strategy aligned with business growth, innovation and competitive advantage

  • Engage effectively with the C-suite and board, articulating the strategic value, trade-offs and risks of technology and AI initiatives

  • Make informed investments and build-vs-buy decisions across platforms, data, AI infrastructure and ecosystem partnerships

  • Identify and prioritize high-value gen AI use cases, moving beyond pilots toward scalable, ROI-driven deployment

  • Design governance frameworks for responsible AI, addressing ethics, risk, data privacy and regulatory considerations

  • Lead AI-enabled organizational transformation, including operating models, talent strategies and cross-functional collaboration

Program experience

Program Experience - Blended Learning Journey
On-campus immersion

Participate in an intensive on-campus module designed to deepen learning through in-person faculty engagement, peer exchange, and high-impact executive dialogue.

Program Experience- From AI Strategy to Enterprise Execution
From AI strategy to enterprise execution

Develop a structured understanding of generative and agentic AI and apply strategic frameworks and decision tools to translate AI strategy into disciplined enterprise execution and measurable business impact.

Program Experience - Applied Case-Based Learning
Case-based learning and hands-on applicability

Explore contemporary enterprise scenarios to understand how technology and AI strategies are developed, governed, and scaled, while applying insights directly to practical business contexts.

Program Experience - Office Hours with a Program Leader
Live online faculty sessions and dedicated office hours

Engage in live online sessions led by distinguished faculty, complemented by structured office hours with a dedicated program leader.

On-campus academic immersion in Toronto

A defining element of the program’s blended learning journey, the on-campus immersion at the Rotman campus places participants in a dedicated academic environment for enterprise-level reflection and decision-making. Located in Toronto, one of the world’s leading AI and technology hubs, where global research, enterprise adoption and innovation converge, the city offers a real-world context for examining how AI is reshaping organizations and economic systems.

Rotman bridges technical innovation and enterprise leadership, enabling senior leaders to translate advances in AI into sound strategic, investment and risk decisions. Through real-world contexts, peer exchange and focused expert-led sessions, leaders engage with the questions that drive enterprise value and sharpen judgment at the C-suite and board level. Participants leave with clearer decision logic to align AI ambition with business strategy, governance priorities and long-term competitive advantage.

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Note: The on-campus immersion is included as part of the blended learning experience and is available only in this program format.

The strategic value of on-campus engagement

The experience is structured to support focused discussion, reflection and exchange around the strategic decisions leaders face as technology and AI become central to enterprise direction.

Workshops and Applied Learning
Experiential workshops and activities

Engage in facilitated, in-person activities designed to explore enterprise technology, AI and gen AI considerations in a structured academic setting.

Faculty Engagement
Focused, expert-led sessions

Interact with industry experts and faculty who bring research-led perspectives on enterprise technology, AI and organizational transformation.

Practitioner Perspectives
Practitioner perspectives

Understand applied viewpoints introduced through practitioner-informed discussions integrated into the academic experience.

Networking and Peer Exchange
Peer exchange and collaboration

Participate in structured conversations with senior peers, enabling shared reflection on leadership challenges and decision contexts.

Ecosystem Engagements
Ecosystem engagements

Explore perspectives from the broader business and innovation ecosystem through curated engagements, where applicable.

Note: Sessions and ecosystem engagements are subject to confirmation and change.

What you will learn in the Chief Technology and AI Officer Program

The Chief Technology and AI Officer Program is structured to balance flexibility with intensity, combining online learning with an immersive on-campus experience. Across 3 phases, you will build enterprise perspectives on technology and AI leadership, deepen your understanding of gen AI and agentic AI for business and consolidate learning through focused, in-person engagement at the Rotman campus.

Access the Learning Management System (LMS) ahead of the program start, to explore essential resources, understand the program flow, and get comfortable with the tools and materials that will support your learning. Complete pre-work assignments to establish a strong foundation and step into the program ready to participate with clarity and confidence.

This phase sets the strategic foundation for the program through 2 expert-led live sessions* focused on the expanding responsibilities of the CTO in an AI-enabled enterprise.

Session 1: Redefining the CTO Role

Examine how the CTO role is evolving from technology oversight to enterprise leadership. Explore the CTO’s expanding mandate as an architect, advisor and business partner and how AI is reshaping leadership expectations.

Session 2: Aligning Technology Vision with Enterprise Transformation

Focus on aligning technology and AI vision with enterprise-wide transformation objectives. Examine how CTOs connect technology strategy to corporate vision, influence transformation agendas and establish a foundation for scaling AI across the organization.

In this phase, you will build executive-level fluency in the technologies, trade-offs and organizational impacts of AI adoption. Discover how agentic AI is reshaping business execution, decision-making, and AI workflows through faculty-led live sessions that translate AI agents and automation into actionable capabilities for business leaders.

Module 1: Gen AI — Opportunities and Limitations

Understand the fundamentals of gen AI and how it intersects with other AI types, including robotic process automation, predictive AI and agentic AI. Learn to match these technologies to core business objectives. 

Module 2: AI and Competitive Advantage

Discover how gen AI can drive business differentiation and create long-term competitive advantage. Gain strategies for using AI to enhance customer experiences and streamline operations. 

Module 3: Gen AI in Business Models and New Revenue Streams

Explore how organizations can leverage gen AI to develop new products, services and revenue models. Gain insights into the commercial potential of AI-generated content and AI-as-a-service. 

Module 4: Decision-Making with Gen AI

Learn how AI-powered tools can transform business decision-making processes. Understand how to apply data-driven insights to mitigate risks and drive business growth. 

Module 5: Risk, Ethics and Corporate Governance for AI

Gain a comprehensive understanding of the ethical challenges associated with gen AI, and learn how to design responsible AI governance frameworks.

Module 6: Leading Organizational Transformation and Building an AI-Driven Culture

Acquire the leadership skills required to drive AI initiatives and foster an AI-first organizational culture. Learn how to navigate change management challenges and overcome internal resistance.

This phase consolidates learning through an intensive, in-person academic immersion at the Rotman campus. It combines faculty-led sessions, applied workshops, ecosystem engagements* and peer exchange, focusing on enterprise adoption, governance and leadership in the age of AI.

Session Details (Day 1): The Economics and Strategy of Gen AI

Examine the disruptive economics of gen AI and their implications for enterprise strategy and value creation. Develop a gen AI strategy through practical use cases and hands-on exercises, and engage in a welcome reception for peer exchange.

Session Details (Day 2): Overcoming Barriers to AI Adoption

Address the integration of gen AI into enterprise operations, focusing on barriers to adoption, organizational resistance and core principles of AI integration. Reflect on these challenges through structured review and guest insights within the current AI landscape.

Session Details (Day 3): Managing Risk, Ethics and Autonomous AI

Evaluate risk, ethical and governance considerations in enterprise AI adoption, including the management of autonomous and agentic AI systems. Assess the implications for digital transformation, supported by guest perspectives and program wrap-up.

The program concludes with a final session that synthesizes core insights, fosters strategic reflection, and solidifies actionable leadership takeaways to drive lasting impact.

*Expert-led live sessions, ecosystem visits, guest speaker sessions, and ecosystem engagements are subject to confirmation and change.

Case study spotlight — a business lens on gen AI

Examine how organizations across sectors are applying gen AI to drive decision-making, innovation and competitive advantage.

Goldman Sachs

Goldman Sachs

Explore how AI assistants analyze financial data to surface risks and opportunities, strengthening decision-making while enabling teams to focus on strategy.

Pfizer

Pfizer

Examine how Pfizer’s gen AI platform, Charlie, automates fact-checking, editing and risk categorization to streamline approvals in a highly regulated environment.

Morgan Stanley

Morgan Stanley

Assess how an AI assistant developed with OpenAI surfaces insights and summarizes reports in real time, enabling advisors to focus on client strategy.

Automotive Industry

Automotive Industry

Dive deep into how synthetic data simulates road, weather and traffic conditions to accelerate autonomous vehicle training and improve safety.

Citibank

Citibank

Explore how Citibank uses AI-driven risk models to simulate economic shocks to support more informed investment decisions beyond historical data.

Brex

Brex

Explore how AI tools function as a virtual CFO, analyzing spend patterns and delivering real-time budget insights.

Cohere

Cohere

Understand Command R+, an AI model that enables summarization and documents Q&A, helping executives extract insights quickly from large text volumes.

Who should enrol in the Chief Technology and AI Officer Program?

The Chief Technology and AI Officer Program is designed for senior leaders operating at the intersection of technology, business and transformation, as well as leaders preparing to assume broader enterprise responsibilities.

  • C-suite executives and senior leaders

Architecting enterprise-wide digital, data and AI platforms, balancing enterprise innovation with operational resilience and build organizational alignment and executive consensus around tech priorities

  • Vice presidents, heads and senior directors

Modernizing legacy systems while enabling next-generation capabilities and building credibility with C-suite stakeholders and business leaders

  • Technology, AI and digital transformation leaders

Leading enterprise platforms, products, operating models across technology, data and engineering while establishing governance frameworks for responsible AI, data privacy and security

  • Senior leaders on a CTO, CIO or CAIO succession track

Preparing to step into broader enterprise leadership roles with the strategic perspective and confidence to engage stakeholders and boards on topics like technology, business, finance and risk

  • Leaders from diverse organizational contexts

Senior professionals with 10+ years of experience, adapting technology and AI strategies across different organizational models, navigating constraints across contexts

The Rotman ROI

Beyond state-of-the-art leadership frameworks and world-class learning environments, you gain access to a global network of accomplished peers, along with a range of exclusive benefits and discounts, including:

  • A certificate of professional achievement

  • Access to a global peer network of senior technology and AI leaders

  • A 25% discount on additional eligible Executive Programs

  • A one-year online subscription to the award-winning Rotman Management Magazine

  • Access to the latest news, thought leadership and more from Rotman Executive Programs

  • A referral discount to provide to friends and family

“Across industries, the question is no longer whether to invest in AI but how to integrate it into the enterprise without fragmenting strategy, governance or execution. CTOs are now accountable for de...
Faculty - Walid Hejazi
Walid Hejazi
Professor of Economic Analysis & Policy; Academic Director, Rotman Executive Programs
"AI is advancing beyond automating tasks to augmenting judgment, adapting, planning and even shaping decisions. This is not just another wave of technology but a catalyst for transformation across ind...
Faculty - Zissis Poulos
Zissis Poulos
Assistant Professor of Financial Technologies, York University

Faculty and instructors

World-renowned Rotman faculty in the Chief Technology and AI Officer Program support senior leaders as they navigate the strategic, organizational and governance challenges of AI at enterprise scale. Drawing on deep expertise in AI, gen and agentic AI and business strategy, the faculty equips participants with the judgment and perspective required to lead AI initiatives at the enterprise level.

Faculty - Walid Hejazi
Walid Hejazi

Professor of Economic Analysis and Policy; Academic Director, Rotman Executive Programs

Walid Hejazi is an expert in economic analysis and policy at the Rotman School of Management. He teaches in Rotman’s MBA, Executive MBA and custom programs, offering insights ...

Faculty - Zissis Poulos
Zissis Poulos

Assistant Professor of Financial Technologies, York University

Zissis Poulos is an expert in machine learning and the applications of gen AI for financial markets. His research covers AI applications in derivatives hedging, risk managemen...

Faculty - Avi Goldfarb
Avi Goldfarb

Rotman Chair in Artificial Intelligence and Healthcare; Professor of Marketing, Rotman School of Management, University of Toronto

Avi Goldfarb is the chief data scientist at the Creative Destruction Lab, a research lead at the Acceleration Consortium and a research associate at the National Bureau of Eco...

Faculty - Yongah Kim
Yongah Kim

Associate Professor, Strategic Management, Rotman School of Management

Yongah Kim is a core faculty member in the Leadership Development Lab and the Self-Development Lab of the Desautels Centre for Integrative Thinking and a faculty research fell...

Example image of certificate that will be awarded once you successfully complete the course

Certificate

Upon successful completion of this 6-month program, participants will receive a digital certificate from the Rotman School of Management, University of Toronto. This program also counts toward a Rotman Excellence in Executive Leadership Certificate.

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Rotman School of Management.

FAQs

The Chief Technology and AI Officer Program from the Rotman School of Management is an executive program designed for senior leaders shaping enterprise-level strategy in an AI-driven environment. The program combines structured online learning with an on-campus academic immersion, bringing together faculty insight, applied discussions and peer exchange to examine how technology strategy, AI systems and business strategy intersect at scale.

This program is designed for technology professionals and senior leaders who are responsible for, or are influencing, enterprise-wide technology and AI decisions. It is particularly relevant for leaders operating across technology leadership, AI strategy and enterprise transformation, as well as those preparing to assume broader chief technology and AI officer responsibilities that require engagement at the board level.

Whether the Chief Technology and AI Officer Program is worth it depends on your personal and professional goals, preferred learning format, geography and leadership scope. For senior leaders seeking to scale AI technology, strengthen enterprise-level strategy and translate AI adoption into measurable business outcomes, the program offers a structured experience, combining online modules, an in-person immersion and engagement with a senior peer cohort, to support thoughtful, enterprise-level decision-making.

This is not a technical training course. The Chief Technology and AI Officer Program is designed as an executive program that focuses on how leaders lead AI strategy, govern AI systems and guide enterprise transformation. Learning is anchored in enterprise contexts through faculty-led discussions and on-campus immersion. The program includes applied sessions and exposure to broader business and innovation ecosystems, focusing on practical experience rather than just theory-based instruction.

Many professionals progress into the chief technology and AI officer role through senior leadership across technology, data and transformation functions, often over time and across contexts. The Chief Technology and AI Officer Program is designed to support leaders at this stage by offering space to examine enterprise-level strategy, leadership judgment and board-level considerations, alongside peers facing similar scope and complexity, rather than positioning itself as a direct pathway or credential for the role.

The Chief Technology and AI Officer Program is designed to support leaders in navigating the intersection of AI strategy and enterprise execution. It enables participants to examine how AI initiatives are framed, prioritized and governed at scale, focusing on leadership decisions around strategy, operating models and organizational constraints that shape how execution unfolds in complex enterprises.

The Chief Technology and AI Officer Program is designed to enable leaders to examine enterprise transformation and AI adoption as organizational and leadership challenges. Through faculty-led discussion and peer exchange, participants explore how technology strategy aligns with business strategy, how AI-driven organizations evolve and how leaders guide change responsibly within legacy systems and governance environments.

The on-campus immersion is designed to create a dedicated space for enterprise-level reflection and exchange. By stepping away from day-to-day operational demands, participants engage with faculty and peers in an in-person academic setting to examine complex technology and AI decision contexts, deepen their perspective on enterprise-level strategy and AI systems and test leadership assumptions through dialogue.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 895 8609 (US) / +44 2046 349051 (UK) / +65 3129 8389 (SG) / +5255 9262 6884 (LATAM)

We encourage early application due to limited cohort capacity.

Flexible payment options available.

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