Client Engagement Director - Data & AI (Southeast US)

Remote in United States of America: Atlanta,

Data Technology Consulting

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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 and Southeast regions. Join a global leader in digital transformation and make a high-impact contribution to our clients and business.

Req.# 959115018

Responsibilities

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

Requirements

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