Huron Consulting Group
Chief Revenue Officer
Building AI-powered revenue operations infrastructure to integrate four recent acquisitions (AXIA, Eclipse, Axiom, Treliant) while recovering margins from 17.2% to 20%+ and accelerating commercial segment growth to offset education stagnation.
Huron lacks integrated revenue operations infrastructure to maximize the value of recent acquisitions and accelerate commercial growth. Without AI-powered lead qualification, automated managed services delivery, and data-driven revenue optimization, the company cannot achieve the 75% consultant utilization and 15% EBITDA margins needed to justify acquisition costs and compete effectively against larger, more digitally sophisticated peers.
$75M incremental RBR
$125M incremental RBR
$175M incremental RBR (assumes successful managed services scaling and major client wins)
Core Opportunity
Huron has completed four strategic acquisitions but lacks the revenue operations infrastructure to maximize their value while margins have compressed from 20% to 17.2%. The education segment is stagnant and competitive pressure from Big 4 and specialists threatens pricing power.
Execution Thesis
Deploy AI-powered resource optimization, managed services automation, and revenue intelligence systems to integrate acquisitions, recover margins to 20%+, and generate $75M–$175M in incremental RBR — transforming Huron from a traditional consulting model to a technology-enabled services platform that can compete effectively against larger peers.
Production systems, not theory. Revenue captured, not demos given.