Client Engagement Director Data & AI (Northeast Region)

Are you a seasoned Data & AI consultant ready to drive growth and innovation in a newly consolidated North American business unit EPAM is seeking a Client Engagement Director to lead strategic account development and drive our data and AI business in the Northeast region. Join a global leader in digital transformation and make a high-impact contribution to our clients and business.

Req.#

• Build trusted partner relationships with senior client stakeholders serving as a principal advisor and engagement lead
• Provide thought leadership in Data & AI helping clients define their analytics agenda and identify opportunities for value creation
• Proactively drive the adoption of six core services: Data & AI platform development/support AI use case implementation modern analytics business process automation and data modernization
• Develop and grow key strategic accounts expanding engagements to $5-10M annually
• Pursue and win strategic opportunities across a diverse portfolio of regional accounts
• Enable and educate business unit and business development teams to identify and source new opportunities
• Align with business teams and senior leadership to co-develop account plans and strategies for delivery growth and client satisfaction
• Lead complex transformational initiatives serving as solution architect consultant program manager or engagement leader as needed
• Own and contribute to strategic deliverables such as strategy target operating model solution visions and roadmaps
• Maintain a hybrid work setup with up to 30% regional travel to client sites and EPAM offices

• 10 years of experience in Data & AI consulting or delivery
• Proven success in developing and growing client relationships with strong business acumen
• Experience leading complex data analytics projects and engagements with a track record of driving revenue and value creation
• Ability to operate at both strategic and tactical levels adding value to clients and supporting delivery teams
• Strong understanding of data platforms analytics AI and modernization trends; practical experience with major data analytics technologies
• Ability to communicate effectively with both technical and business stakeholders
• Experience with end-to-end data analytics project delivery including solution design and technology selection