EPAM Systems
Chief Revenue Officer
Building AI-native revenue operations to accelerate enterprise AI sales cycles, optimize delivery footprint margins, and scale from project-based services to programmatic AI transformation deals across 62.8k employees in 55+ countries.
EPAM's revenue operations are fragmented across 55+ countries without unified pipeline governance, AI offering standardization, or predictive forecasting systems. The shift from project-based services to programmatic AI transformation requires systematic RevOps infrastructure that can accelerate enterprise procurement cycles, optimize delivery margin across regions, and scale partner co-sell attribution — capabilities that don't exist at the required sophistication level for a $62.8k employee organization.
$85M incremental revenue through cycle acceleration and margin optimization
$125M incremental revenue with full RevOps transformation and partner ecosystem
$180M incremental revenue assuming 3 Fortune 500 platform transformation deals above $10M ACV
EPAM has the global delivery scale and AI capabilities to win programmatic enterprise transformation deals, but lacks the RevOps infrastructure to accelerate complex procurement cycles and optimize delivery margins across 55+ countries. Deploying unified pipeline intelligence, standardized AI offerings, and automated partner ecosystems will convert the current fragmented sales motion into a predictable revenue engine capable of $85M–$180M incremental impact while defending against competitive pressure from Accenture bundling and India-based price competition.
Production systems, not theory. Revenue captured, not demos given.