Head of AI Risk Oversight
M&T Bank
Rhea Rajwani leads AI Risk Oversight within Independent Risk Management at M&T Bank Corporation, where she is responsible for building and scaling the Bank's second line AI risk oversight program and advancing AI governance practices aligned with evolving regulatory expectations, industry guidance, and peer benchmarks for the responsible adoption of AI. She previously led the Bank's Model Risk Management function, overseeing the enterprise-wide model risk management program.
Prior to joining M&T Bank in 2022, Rhea spent 16 years at TD Bank, where she held leadership roles across Risk and Finance. She played a key role in the development and implementation of TD's model risk management framework and supported major regulatory initiatives, including Resolution Planning and the Comprehensive Capital Analysis and Review (CCAR) program.
Rhea began her banking career in India, where she spent more than a decade in finance, technology and risk management roles at Bank of India and ICICI Bank. Her responsibilities included capital adequacy planning, Basel supervision, regulatory reporting, and reporting processes supporting SEC filings in the United States. She also represented ICICI Bank on an industry committee convened by the Reserve Bank of India to enhance Basel reporting standards and supported regulatory submissions to international banking supervisory bodies.
Throughout her career, Rhea has contributed to industry thought leadership and policy discussions on risk management, AI governance, and emerging technologies. She holds a Bachelor's degree in Financial Accounting and Auditing and a Master's degree in Business from the University of Mumbai. Her professional credentials include the Certified Associate of the Indian Institute of Bankers (CAIIB) designation, the Canadian Securities Course (CSC), Executive Education from the MIT Sloan School of Management, and the EqualAI AI Governance Professional Certificate. She also holds multiple technology-related certifications.
AI is no longer just augmenting workflows—it is beginning to make decisions, take actions and coordinate work across the enterprise. As agentic AI systems evolve from copilots to operators, bank executives face a defining leadership question: Who governs decision-making when machines act autonomously?
This panel explores why AI is no longer a technology initiative, but an enterprise-wide leadership mandate requiring new approaches to accountability, risk and control. Panelists examine where AI is already shifting from recommendation to execution, which functions are closest to becoming agent-driven, what decisions leaders are willing to delegate, and why CEOs and boards—not just Chief AI Officers, CIOs and CTOs—must personally own the governance of AI at scale.