Patrick focuses on transforming maintenance and reliability organizations to deliver sustainable improvements in asset performance and cost efficiency. He combines advanced analytics, digital tools, and frontline execution discipline to improve equipment uptime, optimize maintenance strategies, and enhance overall operational effectiveness.
He leads a team developing McKinsey’s proprietary solutions to optimize preventive maintenance programs, predict and detect failures, improve turnaround planning, and ensure high-quality work execution and spare-parts availability.
Examples of his work include:
- supporting a major airline in transforming its maintenance and reliability function into a digital and analytics–driven organization, delivering more than $100 million in impact through custom technology solutions
- improving reliability across a US oil and gas network to achieve top-quartile performance through tech-enabled preventive maintenance optimization
- implementing standard work in maintenance execution for a global mining company, increasing workforce efficiency by 20 percent
- helping a metals producer optimize outage frequency and scope, improving plant reliability by 30 percent
- developing a digital work management solution for a refining company, reducing routine maintenance costs by 15 percent
Before joining McKinsey, Patrick completed a PhD in production engineering and a Master of Science in mechanical engineering at the Technical University of Munich. During his doctoral studies, he was a visiting researcher at MIT and Stanford. He received the Shingo Prize for excellence in manufacturing research.
