Phil advises financial institutions and financial technology companies on transforming their technology, operations, data, and AI capabilities to drive productivity, boost growth, and improve customer experience. He has deep experience in banking, financial market infrastructure, payments, and insurance.
His recent client work includes:
- developing and implementing the engineering and operations strategy at one of Europe’s largest financial institutions across 20,000 technologists
- shaping one of the most significant cloud and AI partnerships in Europe
- helping a major financial institution achieve 25 percent productivity improvements in their technology spend
- developing and implementing a three-year technology and data strategy for a global payments business
- helping a global financial technology company identify productivity improvements across product, engineering, operations, and sales teams
- rolling out an enterprise-wide agile operating model at a major financial institution
- delivering the first multi-agent gen AI use case at a prominent financial technology player
- identifying and delivering a bankwide productivity transformation at one of Europe’s largest and most successful financial institutions
- transforming tech talent hiring at one of the world’s largest financial technology businesses
- shaping and delivering a bankwide customer experience improvement program at a major European institution
In addition to his hands-on advisory work, Phil leads McKinsey’s work on technology operating models and productivity across Europe.
Before joining McKinsey, Phil was a doctoral research scientist at the University of Cambridge, spent time at Microsoft Research and MIT, and was lead engineer at a start-up. He holds a PhD in computer science from the University of Cambridge.