The New Indirect Tax Technologist: A Skillset and Team Structure for the AI Era
Join tax leaders from NVIDIA, KPMG, and Fonoa to learn how to structure, hire, and upskill an indirect tax team that gets real value from AI.
Real-world insights from working at NVIDIA, Google, Uber, and beyond on AI-savvy tax functions
Fonoa's recent research found near-universal AI adoption in indirect tax, paired with a much smaller group of teams who can actually measure, govern, or defend what the AI is doing. The report made one thing clear: the data quality and integration problems holding teams back are not technology problems. They are people and structure problems.
This session picks up where the report leaves off. With a panel of experts who bring experiences from Uber, Google, NVIDIA, and beyond, hear what an indirect tax team needs to look like to get real value from AI.
Learn about:
- Why the profile is changing: What a team getting this right looks like on the org chart, and the roles that did not exist three years ago
- Upskill or hire: How to tell when someone can be upskilled, what to screen for in a hire, and the first move for a team with no budget
- Structuring the team: Who owns what, who reports to whom, and where tax technology sits relative to tax and to engineering and data
- What is worth learning: The technical skills that pay off, the ones that only sound important, and where to spend ten hours a month
Who should join
This session is for tax leaders shaping their team for the AI era, and for tax managers deciding whether and how to upskill. Whether you are weighing a first hire, a training plan, or a full reorg, the panel's practical experience will help you decide what to build next.
Speakers
Fonoa's Chief Tax Officer, ex-Head of EMEA Tax at Uber, with extensive tech consulting experience in US and EMEA. Based in Bucharest & Amsterdam.
Sergio is an electrical engineer, data scientist, and tax technologist currently leading Tax Reimagined Switzerland at KPMG UK & Switzerland. He has spent his career at the intersection of tax and technology, implementing tax determination, e-invoicing, and compliance automation across 150+ countries, with earlier roles at other Big 4 firms. Most recently he has focused on embedding generative and agentic AI into the daily work of tax teams.
Ankeet brings 15+ years across tax product, compliance automation, and reporting. As NVIDIA's first tax technology hire, he works across finance, tax, engineering, and operations to solve the company's tax challenges, supporting both direct and indirect tax on SAP S/4HANA and preparing the function for e-invoicing, digital reporting, and tax ID validation mandates.
