David Mansfield is a leading authority on strategic decision-making, with a career spanning global corporates, private equity, venture capital and high-growth companies. As CEO of Capital Radio PLC, he built the business into the UK’s largest radio group, and has held board roles at Carphone Warehouse, Game Group and Circus... Read more
David Mansfield is a leading authority on strategic decision-making, with a career spanning global corporates, private equity, venture capital and high-growth companies. As CEO of Capital Radio PLC, he built the business into the UK’s largest radio group, and has held board roles at Carphone Warehouse, Game Group and Circus Street, where he guided its transformation from start-up to multimillion-dollar company before selling to private equity.
He is the author of the award-winning book The Monday Revolution, a practical guide to improving everyday business decisions, and is currently pursuing doctoral research at Cranfield University on how CEOs make rapid decisions in high-velocity environments.
David is known for his engaging speaking story-driven style, rich with real-world case studies, and always focused on practical takeaways. He has delivered talks and masterclasses for many organisations including MHP, Smith & Williamson, The London Stock Exchange and the Radio Festival, as well as appearing on podcasts such as Startup Sensations, Human Risk and Practice?
Based in the UK, David shares his insights through keynotes, masterclasses and boardroom sessions designed to equip leaders and teams to make better, faster and more confident decisions.
Based on his award-winning book, David shows how small, everyday changes in meetings, priorities and habits can sharpen decision-making and transform business performance.
Drawing on first-hand experience in scaling companies and M&A, David reveals what really works—and what doesn’t—when organisations face growth or transformation under pressure.
Grounded in his doctoral research, David explores how leaders can balance intuition with analysis when data is incomplete and time is short, offering practical frameworks for stronger outcomes.