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Regional AI Run Lead, WCA

Hybrid in Belarus
Delivery Management.AI
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AI/Run is EPAM's operating model for enterprise AI adoption: a production-grade framework that takes organizations from isolated copilots and pilots to AI-native delivery, combining governed tooling and integration patterns, role-based enablement, and measurable tracking of adoption and ROI across the SDLC.

We are looking for a Regional AI Run Lead to own the AI/Run organization for the Western and Central Asia (WCA) region: a senior, hands-on leader who has personally shipped AI-native delivery and is accountable for the measurable AI maturity of the entire WCA geography. The scope and accountability of the role correspond to a Senior Director / VP level.

Responsibilities
  • Own AI maturity across WCA: assess every delivery center in the region, assign local owners and cadences, and move teams toward production-scale AI-native delivery
  • Lead the three pillars of the WCA AI/Run organization, setting priorities and allocating capacity across accounts
  • Engage early in RFPs and renewals; shape managed-output and fixed-fee commercial structures and move engagements away from time-and-materials
  • Grow AI-native engineering capacity through structured enablement and a pipeline of senior talent ready for forward deployment
  • Represent AI maturity and transformation credibility in the client conversations where regional deals are decided
  • Harvest reusable assets, accelerators, and delivery patterns from regional projects and land them in the global framework
  • Build and lead a cross-location core team of AI solution architects, forward-deployed practitioners, and engineering squads delivering flagship projects
  • Report against outcome metrics: maturity score movement, signed AI-native / managed-output SOWs, trained talent volume, client revenue and margin impact, and assets adopted by other regions
Requirements
  • Senior delivery or engineering leadership with a hands-on record of shipping AI-native work, not advisory only
  • Comfortable owning a P&L-adjacent commercial number
  • Direct, practical experience with AI-assisted engineering tools and agentic delivery approaches
  • Experience shaping SOWs, RFPs, and outcome-based commercial models and negotiating scope with senior client stakeholders
  • Track record of building or scaling accelerators, reusable assets, or engineering platforms across teams
  • Experience operating across regions, delivery centers, or large-scale programs
  • Strong bias toward sharing proven approaches across geographies
  • Credibility to make maturity judgments that directly influence client decisions
  • Advanced English proficiency (C1 level) with exceptional written and verbal communication skills