We are seeking an accomplished Manager/Senior Manager, Autonomous Enterprise Consulting, to join our team. This is a high-impact, client-facing role designed for an ambitious AI consulting professional with strong executive presence, deep expertise in emerging AI technologies and business transformation, and a proven track record of identifying, shaping, and driving new AI business opportunities. In this role, you will work with clients to identify opportunities where AI can deliver meaningful business value, assess business processes, develop pragmatic AI strategies and transformation roadmaps, and translate emerging technologies into actionable solutions with measurable business outcomes. You will lead consulting engagements and workstreams, build trusted client relationships, collaborate with multidisciplinary teams, and contribute to business development and the continued growth of our Autonomous Enterprise practice. Responsibilities Serve as a trusted advisor to Client stakeholders on AI strategy, AI-enabled business transformation, Generative AI, agentic AI, intelligent automation, and the operating model changes required to scale AI across the enterprise Lead AI advisory engagements, including AI strategy, AI opportunity assessment, use-case prioritization, AI operating model and governance, responsible AI, AI adoption, and enterprise AI transformation Support opportunity discovery, proposal development, effort estimation, executive presentations, and multidisciplinary solution design in partnership with sales, strategy, and technical teams Collaborate across EPAM's global capabilities to bring together the appropriate combination of strategy, consulting, data, AI, engineering, cloud, and industry expertise to address client needs Contribute to the growth of EPAM's Autonomous Enterprise practice through market development, account expansion, intellectual capital development, mentoring, and internal capability building Requirements 5-8 years in Artificial Intelligence/ML, and Intelligent Automation consulting with demonstrated career progression, including leading multi-disciplinary teams of consultants Deep understanding of AI and emerging technology, including Generative AI, agentic AI, machine learning, AI engineering, intelligent automation, data, and enterprise AI transformation Business Process Re-engineering background, and proved experience applying one of process improvement methodologies such as Lean Six Sigma, Kaizen is a plus Experience advising, presenting to, and building relationships with client stakeholders across multiple industry verticals Deep industry expertise in one or across sectors such as Retail, Life Sciences, Financial Services, Telecommunications, Manufacturing, Energy & Utilities, or Technology Outcome-focused professional with executive presence, strong communication skills, and passion for solving complex problems
