Client Engagement Lead - Data & AI

In this role you drive data and AI engagements for senior clients, combining business strategy with technical fluency to shape solutions and deliver measurable outcomes. You will own key relationships, steer engagements from plan to delivery, and contribute to presales to grow accounts. You’ll work with cross-functional teams to promote data governance, modernization, and enterprise AI adoption. This is a strategic, client-facing role at a leading services firm that values clear communication and measurable impact.

• ESPP
• life assurance
• private medical insurance
• pension plan
• learning and development opportunities
• discretionary annual bonus

• Build and maintain trusted senior-level relationships as the main contact for Data & AI engagements
• Lead presales: shape proposals, qualify opportunities, and design engagements
• Drive account growth by identifying new opportunities and securing long-term partnerships
• Guide engagements from planning through delivery to meet objectives and timelines
• Collaborate with technical experts to design data modernization and AI adoption strategies
• Promote best practices for data governance, analytics, and AI integration across engagements
• Manage risk, scope, and client expectations while coordinating multidisciplinary teams
• Support commercial negotiations by presenting proposals and defining terms of engagement
• Represent EPAM in thought leadership forums and client advisory sessions
• Monitor the Data & AI landscape to position EPAM as a strategic partner

• Proven experience managing client-facing Data & AI programs in consulting, professional services, or systems integration
• Track record in presales: proposal development, solution scoping, and revenue conversion
• Ability to build executive credibility and discuss with both business and technical stakeholders
• Strong knowledge of Data & AI ecosystems, including cloud platforms, data architecture, governance, ML and generative AI
• Hands-on Databricks experience and ability to discuss data lakehouse patterns and AI product capabilities
• Familiarity with Databricks Unity Catalog and data security best practices for large-scale deployments
• Experience in engagement design, commercial framing, and estimating enterprise projects
• Leadership skills to motivate and coordinate cross-functional delivery teams
• Excellent communication and presentation skills translating complex tech into business terms
• Bachelor’s degree in a relevant discipline; advanced degree or certifications are a plus

• stakeholder management
• leadership
• strategic communication
• Databricks
• data lakehouse patterns
• cloud platforms