Paul Roehrig is the Global Head of Strategy for Cognizant Digital Business. He is the founder and former Global Managing Director of the Center for The Future of Work at Cognizant. He is also – along with Malcolm Frank and Ben Pring – a co-author of What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data and Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business. He is also – along with Ben Pring – co-author of the forthcoming MONSTER: Taming the Machines That Rule Our Jobs, Lives, and Future (March 2021).
Paul is a sought after keynote presenter on issues, trends, and opportunities facing – and likely to face – executive teams. He’s regularly quoted in publications such as Forbes, Fast Company, Business Week, The Economic Times, CIO Strategy Center, The Times of India, Global Services, Computerworld, The Hindu Business Line, The Financial Times, Computer Sweden, and others.
Since joining Cognizant, Paul has also held marketing and strategy roles in Cognizant’s Business Process Services group, been a founding leader of the company’s digital line of service, conceived and developed the Collaboratory innovation space network, and he’s published and consulted extensively on best practices and economics related to digital transformation.
Prior to joining Cognizant, Paul was a Principal Analyst at Forrester Research, where he researched, wrote, and consulted extensively on challenges and opportunities related to business and technology services. In 2008 Paul was named one of the top services analysts globally by the Institute of Industry Analyst Relations. He also held key operational positions in designing and implementing global technology services programs for customers from a variety of industries for Hewlett-Packard.
Paul holds a PhD from Syracuse University and a journalism degree from the University of Florida. He is based in Washington, DC, and can be reached at Paul.Roehrig@cognizant.com and followed @PaulRoehrig