What Type of AI Leader Does Your Fund Need?

Based on Vardis hiring data covering 649 AI and data leaders across 389 PE and VC firms, this assessment matches your fund profile to the right AI leadership archetype - and shows you what funds your size have actually hired, what they paid, and who got there first.

Question 1

What best describes your fund's AUM?

Under $250MLower middle market $250M - $500MLower middle market $500M - $1BLower middle market $1B - $2.5BLower middle market $2.5B - $5BMiddle market $5B - $10BMiddle market $10B - $40BUpper middle market $40B+Large-cap and mega-cap

Question 2

What is your primary portfolio composition?

Primarily software / SaaS Primarily services (healthcare, business services, etc.) Primarily industrial / manufacturing Mixed across sectors Data-rich verticals (fintech, healthtech, insurtech)

Question 3

Which industries are most represented across your portfolio? (pick up to 3)

Select up to 3 that best apply

Healthcare / Life Sciences Financial Services / Fintech Technology / Software Manufacturing / Industrial Consumer / Retail Business Services Energy / Infrastructure

Question 4

What's your primary goal for AI leadership?

Cut costs and improve operational efficiency across portfolio Drive revenue growth through AI-powered products Build a firm-wide AI strategy and governance framework Create defensible AI/data moats that increase exit valuations Keep up with competitors already deploying AI

Question 5

How would you describe your current AI maturity?

No AI initiatives yet - starting from scratch Exploring - a few ad hoc pilots at individual portcos Building - some portcos have data teams, no firm-level strategy Scaling - firm-level AI strategy exists, need to accelerate execution Advanced - dedicated AI team, looking for next-level differentiation