---
title: "Saurabh Gautam - Analytics Manager in India | Tal"
description: "Meet Saurabh Gautam, AI Governance & Solution Architecture Leader | Agentic AI & RAG Systems | AI Trust, Risk & Compliance | Model Risk Management | AI Strategy | Ameriprise Financial based in India. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/saurabh-gautam/share-image"
---

# Saurabh Gautam on Tal

## Headline

AI Governance &amp; Solution Architecture Leader \| Agentic AI &amp; RAG Systems \| AI Trust, Risk &amp; Compliance \| Model Risk Management \| AI Strategy \| Ameriprise Financial

## About

I architect and deploy Generative AI and Agentic AI systems that move beyond proof of concepts into enterprise\-scale production—delivering measurable business value in regulated environments\. Currently, I lead Generative AI, Machine Learning, and Model Risk initiatives at Ameriprise Financial \(Fortune 500, \~$30B Assets Under Management\), where I have: • Designed a production\-grade LLM Evaluation &amp; Validation Framework covering hallucination detection, prompt injection, toxicity, bias, fairness, explainability, robustness, and RAG benchmarking\. • Delivered $20K in cost savings by building and deploying an Agentic AI solution \(LangChain \+ Python\) for autonomous code refactoring and technical documentation\. • Architected end\-to\-end AWS MLOps pipelines using AWS Glue, Redshift, Step Functions, SageMaker, S3, and Tableau\. • Developed a Marketing Mix Modeling \(MMM\) solution that increased qualified financial leads by \~13%\. • Enhanced collection risk models, reducing loan\-loss reserves by $2M\. Outside of work, I'm building an AI\-native multi\-agent trading platform for Indian capital markets \(NSE/BSE\), integrating LLMs, FinBERT, LangGraph, Zerodha APIs, FastAPI, React, vector databases, and autonomous AI agents for institutional\-grade market intelligence and automated decision support\. Core Expertise • Generative AI &amp; LLMs: RAG, Prompt Engineering, Fine\-tuning, AI Evaluation, Vector Databases \(FAISS, Pinecone\) • Agentic AI: LangChain, LangGraph, CrewAI, AutoGen, Multi\-Agent Systems • Responsible AI &amp; AI Governance: Model Validation, SR 11\-7, SR 26\-02, IFRS 9, Basel, Explainability, AI Risk Management • Cloud &amp; MLOps: AWS \(SageMaker, Glue, Redshift, Step Functions\), Azure ML, GCP, MLflow, Docker, Kubernetes • AI Product Development: FastAPI, React, REST APIs, CI/CD, Production AI Systems • Applied AI &amp; Data Science: Predictive Analytics, Marketing Mix Modeling, Risk Modeling, Customer Analytics, NLP Industry Experience Financial Services • Wealth Management • FinTech • Insurance • Healthcare &amp; Pharma • FMCG • Defence AI Recognition 🏆 10\+ Patent Applications \| Y Combinator Startup School Open to Generative AI Architect • AI Solutions Architect • Principal AI Product Manager • Head of AI • AI Engineering Leader • Director of AI • VP of AI

## Location

India

## AI stack

anthropic apis

claude code

claude

codex

cursor

github copilot

## Work experience

Analytics Manager at Ameriprise Financial Services, LLC, Mar 2025 \- Present · 1 yr 6 mos, Hybrid, Generative AI &amp; Agentic AI • Designed a comprehensive Generative AI/LLM validation framework covering accuracy, hallucination, prompt injection, toxicity, bias, robustness, explainability, and benchmarking for fine\-tuned and RAG models\. • Delivered $20K cost savings by deploying Agentic AI and Generative AI for automated code refactoring and technical documentation\. • Led the end\-to\-end ML pipeline for Marketing Mix Modeling using AWS Glue, Redshift, Step Functions, SageMaker, S3, and Tableau\. Risk &amp; Quantitative Modeling • Developed Risk, Survival, and Collection Risk Models influencing \~$30B in Assets Under Management \(AUM\)\. • Built forecasting models for net loss, growth projections, advisor ramp\-up, and asset attrition\. • Enhanced Collection Risk Models, reducing loan\-loss reserves by $2M\. • Developed an Advisor Attrition Model using Mixed Effects Models, improving advisor productivity by 13%\. • Delivered Marketing Mix Models for financial products across omni\-channel campaigns, increasing qualified leads by \~13%\. Decision Support &amp; Strategy • Designed an automated Cost\-Benefit Analysis solution enabling real\-time CFO decision support\. • Re\-engineered predictive analytics initiatives to reduce enterprise asset risk and improve strategic decision\-making\. Data &amp; Team Leadership • Led a team of six engineers and analysts to deliver an enterprise analytics pipeline using Python\. • Published Power BI dashboards that improved BAU reporting efficiency and executive visibility\.

Senior Business Analyst Lead at Ameriprise Financial Services, LLC, Apr 2022 \- Feb 2025 · 2 yrs 11 mos, On\-site, Model Risk Management &amp; AI Governance • Partnered with Model Development, Enterprise Risk, Internal Audit, and Regulatory stakeholders to independently validate high\-impact analytical and AI/ML models, presenting findings and recommendations to senior leadership\. • Assessed model design, conceptual soundness, statistical methodology, calibration, data quality, implementation, and key assumptions across production models\. • Performed independent validation through back\-testing, benchmarking, sensitivity analysis, stress testing, and ongoing model performance monitoring to ensure regulatory compliance and model reliability\. • Authored comprehensive model validation reports, model risk assessments, and challenge documentation aligned with enterprise governance and regulatory expectations\. Model Development &amp; Innovation • Designed and developed a predictive machine learning model to identify financial advisor firm\-switch propensity and estimate hire success before onboarding, enabling more informed talent acquisition decisions\. Platform Optimization • Architected a global enterprise analytics platform optimization strategy that reduced infrastructure costs by $150K annually while improving scalability, governance, operational efficiency, and enterprise AI governance\.

Consultant at WNS Global Services, Aug 2019 \- Apr 2022 · 2 yrs 9 mos, Bengaluru, Customer Intelligence &amp; Revenue Impact • Unified 30M\+ customer identities by integrating 200M\+ transactions, enabling customer intelligence, personalization, and targeted marketing campaigns that generated an estimated \~$12M revenue impact\. Insurance &amp; Investment Analytics • Built an Insurance Pricing and Investment Portfolio Analytics platform for the UK and European markets, improving revenue by \~5% across Vehicle, Property, and Liability portfolios while supporting \~$100M in Assets Under Management \(AUM\)\. • Developed an analytics\-driven investment platform leveraging market data, sentiment analysis, and financial ratios to generate portfolio rebalancing and trading insights\. Consumer &amp; Market Analytics • Delivered advanced analytics that reduced FMCG market trend discovery time by \~30% across 40\+ global markets\. • Managed ML\-powered Social Listening and Survey Analytics solutions for pharmaceutical OTC and consumer brands, transforming customer feedback into actionable business insights\. Strategy &amp; Pre\-Sales • Led pre\-sales engagements and RFP solution development for opportunities totaling \~$950K, contributing to business growth and client acquisition\. • Supported strategic consulting initiatives, including Everest Group PEAK Matrix® assessments, competitive benchmarking, and market positioning\.

Contract Employee Strategic Research Group at WNS Global Services, Jul 2017 \- Aug 2019 · 2 yrs 2 mos, Mumbai, Pre\-Sales &amp; Strategy • Led pre\-sales activities across RFPs, RFIs, proposals, solution design, and Proofs of Concept \(PoCs\), contributing to business opportunities • Collaborated with cross\-functional co\-create teams to develop client solutions, business cases, and data science offerings\. • Supported Everest Group PEAK Matrix® assessments and developed the strategic roadmap for the CEO Summit \(Samurai\), defining the vision for Data Science and Insurance initiatives through 2022 and beyond\. Analytics &amp; Insights • Delivered CXO\-level consumer and market insights by analyzing social media, survey, and third\-party datasets \(Nielsen, Mintel, and Kantar\) using Python and Tableau\. • Identified business opportunities through competitive benchmarking, market gap analysis, and executive dashboards, enabling approximately 15% cost reduction for a leading FMCG retailer\. • Developed machine learning and NLP algorithms for a leading pharmaceutical company to identify customer sentiment, emerging themes, and competitor brand performance, improving operational efficiency by 10%\. Product Management • Managed ML\-powered Social Listening and Survey Analytics products, partnering with product, design, engineering, consultants, and pharmaceutical clients to deliver analytics solutions for OTC brands across dental, nutraceutical, renal, and cardiovascular portfolios\. • Owned product lifecycle activities including requirements gathering, stakeholder management, feature prioritization, roadmap planning, and client delivery for ML\-based customer experience and Net Promoter Score \(NPS\) analytics solutions\.

Project Leader at iCreate, Sep 2014 \- Jul 2017 · 2 yrs 11 mos, Ahmedabad,India, • Built EnviroX, an innovative cleantech solution for treating pollutants in water and industrial fluids, reducing electricity consumption by \~70% and operational costs by \~20% through a modular, membrane\-based architecture designed for scalability\. • Led a cross\-functional team of 10\+ across product development, R&amp;D, innovation, experimentation, prototyping, and commercialization\. • Defined product vision, product strategy, roadmap, and execution from concept through product development\. Fundraising &amp; Recognition • Raised a seed funding round of \~$25K, along with an additional \~$25K in mentorship, technical resources, and ecosystem support\. • Advanced to the Final Round of the Biotechnology Ignition Grant \(BIG\) Scheme\. Go\-to\-Market &amp; Strategic Partnerships • Developed go\-to\-market strategy, sales, marketing, and business development initiatives\. • Collaborated with leading research institutions including IIT Delhi, CIPET, Nirma University, and Xavier's Research Foundation to accelerate product innovation, validation, and commercialization\.

Social Media Manager at OnStage music factory, Jul 2013 \- Aug 2014 · 1 yr 2 mos, New Delhi Area, India, Digital Marketing &amp; Brand Growth • Drove a 3× increase in social media reach through data\-driven digital marketing campaigns, content strategy, and audience engagement initiatives\. • Managed the digital presence and social media strategy for Fender India and other leading global music brands represented by Onstage Music Factory\. • Conceptualized and executed social media campaigns and contests to increase customer engagement, brand awareness, and community growth\. • Optimized paid digital campaigns using PPC and CPM strategies, targeting audiences across Pan India to maximize campaign performance and store visibility\. • Developed and executed end\-to\-end online marketing strategies, including social media marketing, digital advertising, campaign optimization, and performance analytics\.

Research Intern at TERI \- The Energy and Resources Institute, Jul 2012 \- Aug 2012 · 2 mos, New Delhi Area, India, Market Research &amp; Industry Analysis • Conducted comprehensive market research on Bio\-Based Polymers and Plastics, analyzing global production capacity, applications, market trends, and future outlook with a focus on the Indian market\. • Evaluated and benchmarked 200\+ companies operating in the bio\-plastics ecosystem across India, identifying market opportunities, competitive positioning, and industry trends\. Research Design &amp; Survey Analytics • Designed structured research methodologies for primary and secondary market research, ensuring robust data collection and actionable business insights\. • Conducted survey design, data collection, statistical analysis, and insight generation across industry stakeholders to support strategic decision\-making and market intelligence\.

## Education

Master of Business Administration \- MBA, Business Analytics, NIIT University

Startup School, Enterpreneurship, Y Combinator

[View the original profile](https://tal.club/meet/saurabh-gautam)

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