Naman Jhawar · AI Transformation Leader
I turn AI from pilot to enterprise scale.
8+ years leading Generative AI and digital products from first prototype to live deployment in regulated industries, aligning engineering, data science and senior leadership around measurable business ROI.
Now: Senior Manager, IT Strategy, Digital & AI · Star Union Dai-ichi Life Insurance
Generative AI / Agentic journeys / RAG architectures / LangGraph / Microsoft AutoGen / Large vision models / Multimodal AI / Azure cloud transformation / AI product strategy / ROI forecasting
About
Strategy that survives contact with production.
I am a strategic AI product manager who owns the full lifecycle of Generative AI and digital products: defining high-impact roadmaps, leading cross-functional engineering and data science teams, and bridging complex LLM architectures and business ROI. The goal is always the same: solutions that are scalable, ethical and genuinely used.
MBA, Business Analytics · SBM NMIMS Mumbai
Star Union Dai-ichi Life Insurance
The AI Experience Center
A strategic enterprise innovation hub where AI-first and agentic solutions are prototyped, validated and scaled across the organization. Its theme is the move from data chaos to intelligent, agentic decision-making, through alignment between people and AI. It carries both live deployments and proofs of concept.
Conversational AI
AURA
A multimodal voice and chat assistant powered by RAG, built to handle complex insurance queries and customer support.
Sales enablement
Saarthi
An AI roleplay simulator that trains Sales Officers with real-time conversation simulation and automated performance scoring.
Agentic AI
Agentic Sales Assistant
An autonomous copilot for field sales teams: real-time pitch recommendations, customer insights and next-best-action workflows.
Generative design
Avatar Genie
An interactive generative AI tool for personalised digital avatar creation and visual engagement.
HR tech
TalentStream
An AI recruitment and screening engine that streamlines candidate evaluation and matching.
Quality engineering
AI Test Case Creator
Generates comprehensive software test cases from requirements to accelerate delivery cycles.
Computer vision
Liveliness Detection
Real-time biometric verification that confirms physical presence, for fraud prevention and secure digital onboarding.
Computer vision · KYC
FaceMatch Verification
High-accuracy facial matching that streamlines customer KYC and authentication.
Predictive work
Machine learning models
Predictive models that put data science to work across risk, growth and retention.
Risk and fraud
AI Fraud Detection for Insurance
Machine learning models that surface suspicious claims and applications early, so investigators spend their time on the cases most likely to be fraudulent.
Sales integrity
Sales Fraud Indicators
Early-warning indicators that flag unusual patterns in sales activity, so compliance teams can review risky sales practices sooner.
Growth
New Business Propensity Models
Models that score leads by their likelihood to buy, helping sales teams prioritise outreach and focus effort where conversion is most likely.
Retention
Renewal Models
Models that predict which policies are likely to lapse, so teams can prioritise renewal outreach and protect premium retention.
Customer servicing
WhatsApp Servicing Ecosystem
A chatbot that handles servicing requests on WhatsApp. It now takes on 30%+ of company servicing requests and lifted on-time communication delivery from 30% to 95%.
HR automation
GenAI SUDHA
The data pipeline and business logic behind a Generative AI HR chatbot that automates internal employee servicing.
Results
Impact, measured.
95%
On-time communication delivery, up from 30%, through the WhatsApp servicing ecosystem.
30%+
Of company servicing requests handled by the WhatsApp chatbot I architected.
70%
Improvement from the AI QA agent, which turns requirement documents into test scenarios in seconds.
300+
Active members in the Global AI Synergy community, grown from 50 across time zones.
Approach
How I work
01
Start with the problem
User research, persona mapping and empathy interviews define the Jobs-to-be-Done, so every AI idea begins with a real need rather than a shiny model.
02
Make the case in numbers
AI roadmaps, portfolio management and ROI forecasting tie each bet to a measurable business outcome that senior leadership can back.
03
Ship it to production
From high-concept POCs to enterprise-scale live deployments: Generative AI, agentic workflows, RAG and multimodal systems on Azure.
04
Scale it and govern it
Multi-million-dollar IT budgets, vendor RFPs and strategic partnerships, plus the stakeholder influence to carry what works across the whole organization.
Career
Timeline
Apr 2023 – Present
Star Union Dai-ichi Life Insurance · Senior Manager, IT Strategy, Digital & AI
Apr – Oct 2025
Dai-ichi Holdings (Remote IJP) · AI Communications Manager
Apr – Jun 2022
Khel Group · Data Intern
2021 – 23
SBM NMIMS Mumbai · MBA, Business Analytics · 2x Director’s List
Jan 2017 – Jun 2021
Zensar · Developer
2012 – 16
Savitribai Phule Pune University · B.Engineering, Computers · First Class with Distinction
Awards
Recognition
Digital Champ — Driving digital transformation of business strategies and operations through technology and innovation.
Super Squad — Team award for delivery of a high-impact WhatsApp servicing chatbot.
Best L2 Team — Improving L2 processes and customer experience.
Customer Centricity – Emerging — Automating manual client processes that delayed deployment and data extraction.
Budding Innovator — Continuous improvements and high-quality deliverables.
AA ODC Certificate of Appreciation — Outstanding performance in the project.
Credentials
Certified
Azure Certified — AI Transformation Leader
Lean Six Sigma Green Belt — KPMG
Pega Certified Senior System Architect — CSSA 7.4 · Pega Systems
Pega Certified System Architect — CSA 7.2 · Pega Systems
Contact
Let’s scale AI in your organization.
Get in touch to talk AI strategy, product leadership and enterprise adoption.
Namanjhawar.prodman@gmail.com
