Senior Manager, Go-to-Market Marketing (Data & AI)

Responsibilities

• Own the global GTM strategy for EPAM's Data & AI portfolio, aligning offerings to market opportunities, industry priorities, and client needs
• Develop clear positioning and messaging that differentiates EPAM in AI engineering, GenAI, and AI-native transformation
• Partner with portfolio and solution leaders to shape market-ready offerings and ensure strong value propositions
• Turn complex data and AI capabilities into compelling narratives that resonate across personas — from engineers to C-suite executives
• Build thought leadership and campaigns that establish EPAM as a credible, differentiated voice in AI-native transformation
• Lead joint GTM initiatives with hyperscalers (Google Cloud, AWS, Microsoft) and key AI technology partners (Anthropic, NVIDIA, and others)
• Align messaging and campaigns with partner priorities and field sales motions
• Collaborate with marketing and sales teams to design and execute global, multi-channel programs that generate demand and accelerate pipeline
• Track, measure, and optimize performance using data-driven insights
• Orchestrate complex, global initiatives across marketing, business, alliances, and communications teams
• Ensure alignment across stakeholders while maintaining speed and focus on outcomes
• Operate effectively in a matrixed organization, balancing competing priorities

Requirements

• Bachelor's degree required; advanced degree preferred
• 8–12+ years in B2B marketing within technology services, consulting, systems integration, or enterprise software
• Proven track record developing and executing GTM strategies for technology offerings, ideally in Data, AI, or cloud ecosystems
• Strong understanding of hyperscaler ecosystems (Google Cloud, AWS, Microsoft) and partner-led GTM models
• Experience managing complex, global marketing programs in a matrixed organization
• Data-driven approach to decision-making; uses insights to guide strategy and improve program performance
• Exceptional messaging, storytelling, and communication skills — able to bridge deep technical concepts and executive narratives
• Strong stakeholder management and cross-functional leadership capabilities
• Builder and operator mentality — can architect bold strategy while executing hands-on in a fast-evolving environment
• Self-starter with a bias for action and clear accountability for results
• Comfortable operating in ambiguity, especially within AI and emerging technologies