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Diego
de Aragão
SVP, Balance Sheet Executive Decision Support, Data Analytics & AI
Citi
Diego de Aragao is a finance and analytics leader with over a decade of experience in corporate finance, treasury, and data-driven decision-making. Currently serving as SVP at Citigroup, he focuses on balance sheet management, financial planning, and leveraging AI and advanced analytics to optimize capital allocation. Diego’s career spans global roles across Citigroup and American Express, where he led treasury, funding strategy, and business advisory initiatives across the Americas, EMEA, and Latin America. With a deep technical foundation from his MS in Computational Data Analytics at Georgia Tech and an MBA from IESE Business School, he combines strategic insight with quantitative rigor. A sought-after speaker, Diego has keynoted at major finance events, sharing expertise on analytics, AI, and finance innovation. He brings a global perspective and practical strategies to help organizations harness data for smarter financial decisions and sustainable growth.
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24 June 2026 10:30 - 11:15
Fireside chat - People, influence, and empathy: Human operating models that accelerate finance performance
As planning cycles compress and systems become increasingly automated, the differentiator is no longer access to data, it is leadership judgment, trust, and influence under pressure. You can redesign the planning cycle, simplify the model, and tighten reporting rhythms, yet performance still stalls if clarity, accountability, and psychological safety are missing. In this candid fireside, two seasoned finance leaders unpack what actually shifts team performance inside modern FP&A functions: how influence is earned without authority, how difficult trade-offs are navigated in high-stakes environments, and why empathy, when applied correctly, strengthens execution rather than softening standards. As automation scales, the human operating model becomes the real constraint, or the real accelerator. Key takeaways: - Strengthen executive influence in environments where data is abundant but alignment is fragile - Build accountability mechanisms that increase performance without eroding trust - Navigate tension between speed and control when expectations rise - Lead AI and process transformation in a way that sustains morale, ownership, and execution discipline
24 June 2026 11:55 - 12:25
The data truth problem: Fixing fragmented finance data without a 3-year transformation program
CFOs know that poor, fragmented data slows decision-making, erodes confidence, and frustrates teams. But most fear the massive, years-long overhaul required to fix it. This session explores pragmatic ways to restore data integrity, connect siloed systems, and provide reliable, actionable insights quickly. Learn how finance leaders are implementing “fit-for-purpose” solutions that deliver clarity, improve forecasting, and support enterprise-wide decision-making without waiting for a full-scale transformation. Key takeaways: - Identify the critical data gaps that actually impact decisions - Implement targeted fixes that deliver immediate value and maintain control - Connect disparate systems to create a single source of truth without massive disruption