Artificial intelligence
Finance professionals in Artificial intelligence
Learn how finance leaders in AI companies actually allocate money across competing needs. Understand which budget decisions stick and which get reversed. Find out how forecasts change when AI projects take longer or cost more than planned.
Professionals to explore
01—10Abby Speight
LinkedInExperience: Director of Accounting Automation & AI · Tomorrow.io
Experience leveraging AI and automation to enhance accounting accuracy in a director-level financial leadership role.
David Tereshchenko
LinkedInExperience: Head of AI Product, Finance · Chevron
Experience creating and managing an AI product line for a corporate finance organization.
Fabrizio Straccia
LinkedInExperience: Director, AI Product Management · Board
Experience leading AI product management for an enterprise planning platform, designing planning systems and agentic AI tools used in finance forecasting.
Farrah Fogarty
LinkedInExperience: Senior Vice President (SVP), AI Business Strategist - Consumer · Citi
Experience directing AI implementation and strategic planning within a bank's finance and consumer business functions.
Gaurav Sawhney
LinkedInExperience: Head of Artificial Intelligence, Finance · Barclays
Experience leading AI strategy and transformation within a bank's finance function, covering treasury, models and AI adoption.
Jeneia D. Campbell
LinkedInExperience: AI Digital Strategy and Finance · Goldman Sachs
Experience building and delivering AI and machine learning enabled software solutions for finance-related asset and wealth management functions at a major financial institution.
Jesse Todd
LinkedInExperience: Director, Finance AI Transformation · Microsoft
Experience leading generative AI solutions for financial forecasting and directing finance transformation initiatives within a corporate finance organization.
Riyaz Kasmani
LinkedInExperience: Senior Director, Finance AI & Digital Enablement · Workday
Experience directing a finance AI innovation function and building AI-driven risk and analytics tools bridging CFO strategy and product engineering.
Rosanna Su
LinkedInExperience: Director, Finance AI and Data Science · NVIDIA
Experience directing a finance AI and data science team building production generative AI agents, RAG systems, and document AI for finance operations.
Zine Bakhouche
LinkedInExperience: A. Director of FP&A at Merck Manufacturing Department - Finance HQ · Merck
Experience designing and implementing autonomous multi-agent AI systems and agentic applications for finance and business within an FP&A function.
Choose the right perspective
Look for candidates who have set budgets, managed forecasts, or cut costs in AI product teams. Ask them to describe a specific budget decision they made—not what they think should happen, but what they actually chose and why. Avoid candidates who only discuss strategy without owning real spending choices.
Questions to take into the conversation
- 01Walk me through a time you had to choose between funding two competing projects. What made you pick one over the other?
- 02When an AI project ran over budget or timeline, how did you decide what to cut or delay?
- 03Tell me about a forecast you made that turned out wrong. What did you learn about predicting AI work?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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