Indranil Munshi
@indranilmunshi
AI/GenAI & advanced analytics leader translating frontier models into enterprise impact.
What I'm looking for
I’m an AI, GenAI, and Advanced Analytics leader with 15+ years of experience turning frontier AI into production-grade enterprise reality inside customer environments. I build and lead cross-functional AI/ML engineering teams to architect, deploy, and operationalise bespoke agentic solutions across BFSI, CPG, Airline, Retail, Telecom, Energy, and Public Sector.
At Wells Fargo as “Vice President, AI/Analytics – Global Payments & Liquidity,” I lead production AI that powers commercial banking payments workflows—transaction analytics, channel utilization, client cash-flows, and account-level profitability. I’ve also piloted multi-agent, prompt-enabled analytics and built GenAI summarization pipelines for actionable client narratives, alongside explainable Next-Best-Action engines that bridge frontier capabilities with enterprise constraints.
Previously, I served as “Director, Head of Global Analytics” at Telenor and “Director of Analytics, APAC” at GroupM, where I delivered incremental value across churn prediction, LTV, segmentation, and cross-channel attribution. Earlier roles included Global Data Science Lead at FrieslandCampina and AI/Data Science consulting at Accenture and IBM—experiences that shaped my focus on measurable revenue growth, cost optimisation, and stakeholder-ready analytics that work in the real world.
Experience
Work history, roles, and key accomplishments
Led cross-functional AI/ML engineering squads to design and deploy production AI powering commercial banking payments workflows, targeting $XXM in cumulative business impact. Architected multi-agent analytics pilots and GenAI summarization pipelines for near-real-time client narratives and lead scoring, contributing to $XXM in retained revenue and incremental sales uplift.
Director, Global Analytics
Telenor
Apr 2022 - Oct 2022 (6 months)
Owned global AI/analytics strategy across Nordics and APAC, leading distributed teams to deliver $XXM in incremental value across revenue growth, retention, and cost optimization. Deployed real-time churn prediction, CLV, micro-segmentation, and personalization models, reducing churn by ~XX% and driving $XXM in incremental revenue.
Provided AI and advanced analytics thought leadership for APAC across search, social, programmatic, and eCommerce, managing analytics for key FMCG and retail clients with $XXM+ managed media investment. Partnered with Google, Facebook, Amazon, and The Trade Desk to deliver forecasting, attribution, marketing mix modeling, and propensity modeling that improved ROAS by ~XX% and drove $XXM in increme
Global Data Science Lead
FrieslandCampina
Mar 2020 - Sep 2021 (1 year 6 months)
Led global analytics supporting consumer dairy and specialized nutrition growth, delivering consumer journey analytics, personalization, demand forecasting, and marketing mix modeling across APAC. Improved consumer retention by ~XX% and generated $XXM in incremental category sales while defining analytics roadmaps and partner/vendor ecosystems.
Developed a real-time personalization engine for public sector revenue services, improving citizen engagement by ~XX% and contributing to $XXM in operational efficiency savings. Delivered bespoke AI recommendation systems for airlines and airports and agentic decision-support for trade promotion, generating $XXM in incremental revenue and savings and improving promotion ROI by ~XX%.
Delivered predictive consumer intelligence (churn, delinquency, and personalization) for banking and telecom clients, reducing churn by ~XX% and unlocking $XXM in retained customer lifetime value. Built predictive maintenance for HVAC and oil & gas with anomaly detection and 24-hour advance alerts, preventing $XXM in unplanned downtime costs.
Implemented SAP ERP solutions (BI, SRM, CRM) for a tech manufacturer’s global supply chain, partnering with operations and marketing leads to support consumer analytics and revenue uplift. Improved supply chain efficiency through aligned CRM and analytics implementations.
Implemented SAP CRM, MDM, and BI for a global Finnish telecom firm, enabling analytical decision management. Streamlined consumer experience processes by integrating master data and reporting for improved operational decisioning.
Implemented SAP ERP architectures across supply chain, finance, and CRM for UK clients in agriculture and banking. Improved data consistency and streamlined business processes through ERP and CRM integration.
Education
Degrees, certifications, and relevant coursework
National University of Singapore (NUS)
Master of Technology, Enterprise Business Analytics
2014 - 2015
Full-time Master of Technology in Enterprise Business Analytics at the National University of Singapore (NUS) from Jan 2014 to Jun 2015.
Uttar Pradesh Technical University (UPTU)
Bachelor of Technology, Computer Science & Engineering
2004 - 2008
Full-time Bachelor of Technology in Computer Science & Engineering at Uttar Pradesh Technical University (UPTU) from Jul 2004 to Jun 2008.
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