Imperial Executive Education announces the launch of its Chief Data and AI Officer Programme. Designed for senior leaders shaping enterprise data and AI decisions, the programme prepares participants to define enterprise AI strategy, build strong data and governance foundations and deploy AI initiatives that drive innovation and operational impact. Launched in collaboration with Emeritus, a global leader in making high-quality education accessible and affordable, enrolments are now open for a June 2026 start.
As AI becomes integral to enterprise performance, organisations need leaders who can move beyond isolated pilots and fragmented ownership to drive coordinated, responsible and scalable AI-enabled transformation. As per McKinsey, 51 per cent of organisations using AI report experiencing at least one negative consequence, underscoring the need for stronger governance and strategic oversight. The programme is designed to equip leaders with the frameworks and capabilities required to mitigate such risks while scaling AI responsibly. The curriculum combines executive leadership, AI and data strategy, enterprise data architecture and governance, and applied generative and agentic AI. Through real-world case studies, live online sessions and capstone assignments, participants will gain practical frameworks to lead AI transformation at scale. Upon successful completion, they will receive a verified digital certificate of completion and an Associate Alumni status from Imperial Executive Education.
“Today’s data and AI leaders need to deliver real business value at scale while managing risk and complexity”, says Niresh Rajah, Chief Data and AI Officer and Industry Expert for AI, Data and Digital at Imperial Business School. He notes that senior professionals need strategic acumen, leadership capability, technical expertise in data and AI and transformation capability to stand out in executive-level roles.
The programme is ideal for senior leaders responsible for data, AI, technology, transformation, governance or enterprise architecture.
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