Mike Hogan

Mike Hogan

CIO

Pennymac

Mike Hogan is the Senior Managing Director and Chief Information Officer at Pennymac, and is responsible for the overall vision and leadership for technology initiatives across the company. Hogan has demonstrated consistent success in delivering database and application software solutions within the financial services industry.

In his current role at Pennymac, Hogan is leading a number of AI initiatives. He headed the rollout of Google Gemini at the enterprise level, as well as the launch of several AI productivity tools. He is also leading GenAI workstreams to foster innovation within the company, while carefully monitoring safety and compliance of GenAI tools before implementation. Hogan serves as vice chairman on the MISMO board, which represents a wide range of expertise in residential and commercial real estate finance, where members collaborate on critical issues within the mortgage industry.

Previously, Hogan was the Managing Director of Capital Markets Technology at Pennymac. He is currently a member of the Executive Committee at Pennymac and has served on the company’s management team since 2020.

Prior to joining Pennymac, Hogan led technology teams at Bank of America and Countrywide Financial in the Secondary Marketing, Data Management, Corporate Accounting and Mortgage Servicing areas. He has spearheaded the development of custom-built software solutions to support all facets of the mortgage business, and during his time as a Senior Consultant for Microsoft he helped clients develop and implement new applications.

Hogan earned a Bachelor of Science in Electrical Engineering from Rice University.

Featured Sessions

Wednesday, September 16, 2026
10:55 am

Despite significant investment, many AI initiatives struggle to translate from pilot programs into meaningful operational impact. What’s holding lenders back — data limitations, integration challenges, or internal resistance to change? This session explores where implementation breaks down, how organizations are overcoming these barriers, and what it takes to turn AI into a scalable, day-to-day driver of efficiency and performance.