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Indranil Munshi

@indranilmunshi

AI/GenAI & advanced analytics leader translating frontier models into enterprise impact.

India
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What I'm looking for

I’m looking to lead end-to-end GenAI/agentic and advanced analytics programs—architecting and deploying real production systems that drive measurable revenue, retention, and cost wins, while partnering deeply with C-suite and engineering teams.

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

Wells Fargo logoWF
Current

VP, AI/Analytics

Apr 2023 - Present (3 years 2 months)

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.

Telenor logoTE

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.

GR

Director of Analytics

Sep 2021 - Mar 2022 (6 months)

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

FrieslandCampina logoFR

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.

Accenture logoAC

AI & Data Science Consultant

Nov 2017 - Mar 2020 (2 years 4 months)

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%.

IBM logoIB

Staff Data Scientist

Aug 2015 - Nov 2017 (2 years 3 months)

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.

Education

Degrees, certifications, and relevant coursework

National University of Singapore (NUS) logoNN

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.

UU

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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