Practice Head - Data & Analytics, BFSI - Insurance, Banking and Insurance Technology Group, Tata Consultancy Services
Pankaj Sinha heads the Data & Analytics Practice for TCS Insurance unit (within BFSI) which is responsible for providing Strategy, Consulting, Architecture, Implementation, Solution development, Innovation, Research and Competency development services to Insurance & Financial Services organizations in Data, Analytics, Cognitive & AI space across multiple geographies.
Pankaj has over 23+ years of experience in Information Technology sector with expertise spanning across Strategy, Blueprint, Planning, Architecture, Design/Modeling and implementation of complex business systems. Over the years he has led several Consulting and large-scale implementations of Information Management, Digital, BI/Analytics, CRM, Enterprise Applications and Transformation initiatives.
He has significant background in Business Intelligence, Data Warehousing, Data Management, Data Governance, Data Architecture, Data Integration, Big Data, Analytics, Cognitive / AI, Database Platforms and Enterprise Performance Management solutions across multiple industry verticals and technology platforms. He has experience of working with leading organizations in Insurance (P&C, Life, Commercial), Banking & Financial Services, Healthcare (Payers, Providers, PBMs), Automotive, Government, Energy/Utilities and Manufacturing verticals.
He is actively collaborating with leading industry Partners, Startups and Research organizations to develop innovative solutions in Data, Analytics & AI / Machine Learning space aimed at improving business outcome and achieving higher levels of efficiencies across business functions.
Pankaj has been advising senior leaders / executives of several Insurance & Financial Services organizations on Enterprise Data/Analytics Strategy, Data/Analytics Organization Setup, Governance and Program Execution Models to effectively leverage data as strategic asset for improving business growth / revenue, business insights, risk management and operational efficiencies.