Enterprise CIO Driving Modernization, Operating Model Transformation & Governed AI
Matt Rider is a senior enterprise technology executive with more than 25 years of experience leading modernization, integration, and operating model transformation across highly regulated financial services organizations.
He has served as Chief Information Officer for national banking and mortgage platforms, led global organizations of more than 2,500 technologists, and delivered large-scale modernization initiatives spanning cloud, data, cybersecurity, and enterprise platforms.
Across roles at Wells Fargo, JPMorgan Chase, and Franklin American Mortgage, Matt has been trusted to stabilize complex environments, lead through ambiguity, and deliver disciplined execution during high-stakes transformation.
Modernization at Scale
Led enterprise-scale modernization across core platforms, cloud, data, and operating models within complex, highly regulated environments.
Integration & Crisis Leadership
Directed high-stakes integration and transformation initiatives during M&A, restructures, and enterprise risk events where stability and execution discipline were critical.
Risk, Governance & AI
Designed governance-first approaches to cybersecurity, regulatory technology risk, and enterprise AI strategy aligned to measurable business outcomes.
Experience Where It Matters Most
Matt brings enterprise-scale experience across highly regulated financial services environments, including Fortune 500 banking and mortgage platforms. His leadership spans modernization at scale, disciplined integration, technology risk governance, and executive partnership at the board and C-suite level.
He is based in Nashville, Tennessee and is open to enterprise CIO, integration leadership, and strategic transformation roles where experience, judgment, and execution rigor are critical.
Selected Executive Insights
Digital Employees Don’t Fail-Organizations Do
AI initiatives don’t break because of model quality. They fail because decision rights, governance, and operating models weren’t designed for autonomy. Read the article →
Enterprise AI Governance
Enterprise AI governance isn’t about compliance checklists — it’s about redesigning how decisions, accountability, and risk discipline operate in an AI-enabled enterprise. This piece outlines the operating model required to scale a digital workforce without losing control. Read the article →