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Anthony
Rossano
Senior Director, Financial Planning & Analysis
Indeed
Anthony Rossano is a strategic finance leader with more than 15 years of experience helping high-growth technology businesses scale with analytical rigor and operational discipline. As Senior Director of FP&A at Indeed, he partners with the CRO and global Go-To-Market leadership across Sales, Client Success, and Marketing to align growth strategy with durable enterprise value creation. His work sits at the intersection of data science and financial architecture. Anthony is passionate about building foundational driver models that translate commercial ambition into measurable operating plans. By integrating statistics, contribution economics, and performance analytics into modern FP&A frameworks, he helps finance teams move from retrospective reporting to shaping investment strategy with speed, transparency, and scale. Across advertising, marketplace, and SaaS environments, including roles at Spotify and Upwork, Anthony has focused on strengthening forecasting infrastructure and operationalizing capital allocation in complex growth settings. He serves on the AI Committee at FP&A Trends Group and is advancing the use of AI-driven technologies to embed intelligence directly into FP&A workflows.
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24 June 2026 11:15 - 12:00
Panel - The agentic ROI framework: Securing executive buy-In for autonomous finance
Autonomous finance sounds compelling until the investment memo hits the CFO’s desk. When automation shifts from proof of concept to capital allocation decision, enthusiasm is replaced by scrutiny. What is the return? What changes structurally? What risks are introduced? This panel focuses on how finance leaders build defensible economic cases for AI-driven planning, workflow automation, and intelligent decision systems, grounding innovation in cost structure, productivity metrics, and governance discipline. The discussion centers on translating technical capability into board-level logic: how to model impact, how to define measurable value, and how to avoid initiatives that increase complexity without increasing leverage. Key takeaways: - Construct ROI models for autonomous finance initiatives that withstand executive and board scrutiny - Quantify structural impact across cost base, cycle time, and decision quality - Frame automation in terms of capital efficiency and operating leverage - Avoid overengineering solutions that dilute credibility and inflate complexity