More data, more AI, and more pressure to move quickly should lead to better decisions. Yet many organisations are still struggling. For senior professionals, the challenge is no longer access to technology. It is knowing how to lead through uncertainty with confidence.
This is why we are hosting this programme preview webinar. The session will introduce Oxford’s offerings designed for professionals leading change in modern organizations: Oxford Programme in Organising for AI.
In this webinar, you will get a clearer understanding of how these programs approach analytical thinking, digital strategy, resilience, and decision-making in an AI-driven world. You will also understand the learning experience, program fit, and the kind of professional outcomes these Oxford pathways are designed to support.
Apr 21, 2026 | 6:30 PM IST | 2:00 PM BST | 9:00 AM ET
What You Will Learn
- The reasons why decision quality is becoming one of the most critical leadership capabilities in an AI-driven world
- How Oxford approaches data, digital strategy, and transformational leadership differently
- Significance of these programs for senior professionals who are responsible for driving change across multiple functions
- The application of AI in leadership, strategy, and decision-making frameworks
- What to anticipate from the educational experience, including the structure, faculty, time commitment, and peer cohort
About the Speakers
Daniel Armanios is the BT Professor and Chair of Major Programme Management at Saïd Business School, Oxford, and a Professorial Fellow of St Anne’s College. A Rhodes, Goldwater, and Truman Scholar, he holds degrees from Pittsburgh, Oxford, and a PhD from Stanford. He has advised NASA, the EPA, the UN, and a range of global firms and governments, and his work appears in leading journals including Nature Sustainability, PNAS, and the Strategic Management Journal.
Seth Flaxman is an Associate Professor of Computer Science at the University of Oxford and a Tutorial Fellow of Jesus College. His research focuses on scalable Bayesian machine learning and spatiotemporal statistics, applied to real-world challenges in public health, policy, and social science. He has previously held positions at the WHO, Imperial College London, and the University of Oxford’s Department of Statistics.
Why You Should Join
- Understand how each path connects data, AI, leadership, and transformation
- Get a clearer sense of which program best fits your goals and experience
- See how Oxford combines academic depth with practical workplace relevance
- Ask questions live about program structure, cohort experience, and admissions
Do not miss the chance to explore what future-ready leadership looks like.
