---
title: "Priyank Garg - VP Product in Gurugram | Tal"
description: "Meet Priyank Garg, Product Lead @ IndusInd Bank | AI-native Contact Centre | Digital Lending | Ex- CRED, NeoGrowth | BITS Pilani, IMT Ghaziabad based in Gurugram. AI stack includes antigravity, claude code, and elevenlabs. Explore public work links including github and priyankgarg.com."
image: "https://tal.club/meet/priyank-garg/share-image"
---

# Priyank Garg on Tal

## Headline

Product Lead @ IndusInd Bank \| AI\-native Contact Centre \| Digital Lending \| Ex\- CRED, NeoGrowth \| BITS Pilani, IMT Ghaziabad

## About

I am a Product Leader who sits at the intersection of AI, Fintech, and Customer Experience\. With a background in Engineering \(BITS\) and Finance \(IMT\), I don't just build products; I build revenue engines\. Currently, I lead AI product strategy at IndusInd Bank, where we are transforming a 400\+ agent contact center into an AI\-assisted powerhouse\. Before this, I scaled Prefr's credit platform to $10M monthly TPV\. I specialize in: CCaaS, Voice AI, Digital Lending, and Growth\. Open to connecting with fellow product leaders\.

## Location

Gurugram

## AI stack

antigravity

claude code

elevenlabs

gemini

github copilot

## Work experience

VP Product at IndusInd Bank, Aug 2024 \- Present · 2 y, Gurugram, \- Own AI product strategy, P&L, and multi‑quarter roadmap for a 400\+ agent contact center \(Virtual Relationship Manager and telesales\), with North Star metrics and OKRs for connectivity, engagement, and productivity\. \- Building a reusable AI product platform on Ubona Contact Center as a Service \(dialer/IVR/speech analytics/real‑time agent assist\) integrated with CRMnext and the enterprise data platform via Solace—enabling shared services \(identity/consent, targeting/orchestration, observability\) and faster use‑case delivery\. \- Driving a disciplined test‑and‑learn cadence : dialer \-> gen\- ai driven speech analytics coaching → deep integrations achieving \+34% connectivity, and reduce idle time by 50% \- Shipping a human‑in‑the‑loop AI Voice Relationship Manager pilot \(50,000 customers\) to improve conversion‑per‑connect; defined success metrics, scale gates, and post‑release monitoring for safety and drift\. \- Led model and product governance end‑to‑end: vendor hallucination controls; ensured RBI‑aligned data localization; passed Internal InfoSec audit; secured Risk Committee and CISO approvals; renegotiated 50% lower per‑agent licensing and stronger uptime SLAs to fund roadmap velocity\.

Product Manager, Customer Service and Growth at CRED, Jan 2021 \- Aug 2024 · 3 yrs 8 mos, Hyderabad, \- Scaled Prefr marketplace to 3M\+ MA, \~400k daily journey starts, 99\.9% uptime, P95 200ms; \~$10M monthly TPV \(ATS \~$600\)\. Owned transaction\-volume NSM and end\-to\-end funnel performance across embedded web/app journeys and partner APIs\. \- Led 3 APMs, 2 designers, 10 engineers, 2 data engineers, 2 risk, 1 risk\-ops; managed 5–6 vendors\. Reported to Head of Product; launched and operated 30\+ enterprise integrations across demand partners, lenders, and third\-party services\. \- Shipped platform integrations across bureaus \(CIBIL/Experian/CRIF\), KYC \(Digilocker/eKYC/CKYC\), statement analysis \(Perfios/Finbit/Novel\), payments \(Digio eNACH/UPI\), and in\-house ML decisioning/fraud; enabled multi\-tenant, API\-first embedding for partner apps\. \- Conversion gains at scale: bureau 70%→95% \(\+25pp\), KYC \+20pp, non\-STP income verification 40%→51% \(\+11pp; 70% of base\); accelerated offer→disbursal throughput and reduced customer wait times\. \- Drove retention and repeat: launched a 2\-step top\-up flow with \~30% monthly adoption among eligible users, adding \~$3M TPV; ML\-driven fraud auto\-cleared \~80% scenarios, reducing manual review to \~20%\. \- Customer Service and Terminal: 30% ticket deflection via IVR, \~2 min AHT reduction, \~1\.5 hours/FTE/day saved, CSAT \+7; Terminal adopted by 40\+ enterprise users for real\-time lead tracking and journey status\. \- Economics and compliance: 3–4% processing fee per disbursal plus 3–4% share of interest \(avg tenure \~15 months, \~18% ROI\); aligned to RBI Digital Lending Guidelines; ISO 27001 certified\.

Associate Product Manager, Growth at NeoGrowth Credit Pvt\. Ltd\., May 2018 \- Jan 2021 · 2 yrs 9 mos, Mumbai, \- Launched NeoScore \(ML bank\-statement analysis\) enabling same\-day underwriting; cut decisioning from 30 minutes to 5 minutes and scaled throughput 6x while maintaining human\-in\-the\-loop controls in AdvanceSuite LOS/LMS\. \- Drove NeoExpress to capture 50% of new business and add $10M\+ incremental loans in 3 months; sustained 3–4 day disbursal TAT via streamlined risk workflow\. \- Expanded partner channel productivity \(bulk upload, TAT tracking\), improving lead conversion by 15% and distribution to 5\+ cities\. \- Reduced CAC by 10% through market research and 150\+ merchant interviews; strengthened product–market fit and GTM\. \- Increased adoption of the internal sales app by 50% through regular releases; owned PRDs, UAT, and training across risk and field ops\. Promoted from Business Analyst to APM post\-launch\.

## Education

Master of Business Administration, Finance, General, Institute of Management Technology, Ghaziabad

Bachelor's Degree, Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani

## Public links

- github: https://github\.com/prihu
- priyankgarg\.com: https://priyankgarg\.com/

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

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