Client Engagement Director – Data & AI (Southeast US)
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
