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 Energy Sector in Houston, TX. Join a global leader in digital transformation and make a high-impact contribution to our clients and business. Req.#[redacted] 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 in the Energy Sector, 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 Ability to travel regionally up to 30% of the time