Jay Shah

Jay Shah is an Managing Director in Ernst & Young’s Technology Consulting Services, specializing in AI and Data Engineering. With over 17 years of experience, Jay has been instrumental in advising Fortune 100 companies on defining and executing their AI and Data strategies. He has collaborated with C-suite and senior executives to drive enterprise-wide data transformation initiatives, focusing on information architecture, master data management (MDM), data governance, large-scale data warehousing, metadata management, and advanced analytics (descriptive and prescriptive). Jay excels in helping organizations align data capabilities with business objectives, develop strategic roadmaps, and implement solutions that strengthen data management and analytics maturity. His cross-industry and cross-functional expertise spans supply chain, manufacturing, finance, cybersecurity, and technology leadership (CIO/CTO offices). In addition to his technical expertise, Jay has extensive experience in leading and managing global teams and client stakeholders across North America, Latin America, Europe, and Asia. His ability to navigate complex business environments and drive data-driven decision-making has made him a trusted advisor in the AI and Data space. Jay has delivered AI and Data Engineering services across a diverse range of industries, including Life Sciences & Pharmaceuticals, Healthcare, Consumer & Industrial Products, Transportation & Logistics, and Financial Services. With over 13 years at EY, Jay has been consistently recognized for his excellence in innovation, high-quality delivery, and leadership in global teams. His contributions have earned him 36 Bravo Awards, 11 Ovation Awards, and the prestigious U.S. Vice Chair Award, underscoring his impact in driving transformational outcomes for clients and the firm