Lopa Das appointed as Principal Architect – Data & AI at Exponentia.ai., where she is leading enterprise healthcare data strategy and architecture initiatives on Microsoft Fabric while partnering with clients to drive large-scale data transformation, AI adoption, and thought leadership. In this role, she is focused on building future-ready data ecosystems that enable organizations to unlock business value through advanced analytics, intelligent automation, and AI-powered decision-making.
With nearly two decades of experience spanning enterprise data platforms, analytics engineering, cloud modernization, and solution architecture, Lopa has built a distinguished career delivering transformational data programs across healthcare, consulting, and telecommunications sectors. Her expertise lies in architecting scalable enterprise solutions that bridge business strategy with technology execution, helping organizations move beyond reporting to create data-driven operating models that accelerate growth and innovation.
Prior to joining Exponentia.ai, Lopa spent close to a decade at Gartner, where she held several leadership roles including Senior Solution Architect, Data Analytics & Delivery, Principal Analytics Engineer, and Lead Analytics Engineer. During her tenure, she led Gartner’s enterprise-scale migration to Microsoft Azure, architected advanced analytics and decision intelligence frameworks, drove master data management transformation programs, and enabled AI-led business use cases across HR, consulting, and sales functions. She also played a pivotal role in modernizing enterprise data architecture through Azure Synapse, Azure Data Factory, Databricks, event-driven architectures, and cloud-native engineering practices.
Earlier in her career, Lopa spent nearly eight years with Tata Consultancy Services, delivering complex data warehousing and ETL transformation programs for global clients across healthcare and telecom industries. Her appointment at Exponentia.ai reflects her deep expertise in enterprise solution architecture, particularly within the Microsoft Fabric ecosystem, where she is now helping organizations build integrated, scalable, and AI-ready data foundations. As enterprises increasingly embrace intelligent data platforms, Lopa’s combination of strategic vision, technical depth, and business-first thinking positions her to drive impactful outcomes at the intersection of Data, AI, and enterprise transformation.