Product Manager · Healthcare AI

Arnav Mohan

Building agentic AI in regulated environments — currently at Innovaccer, ex-PwC, IIT Kharagpur.

Seven years across AI product management and development: aligning product strategy with business goals, driving adoption, and shipping in industries where compliance is a feature, not a footnote.

Arnav Mohan

$10M+

Total ARR delivered

15%

Adoption rate increased

1500+

Total DAU

7+

Years in AI product work

Experience

01 · 2023–now

InnovaccerAssociate Product Manager

Healthcare AI · Noida

  • Own the end-to-end lifecycle of a Health Information Exchange platform, adopted by 150+ organizations.
  • Drive agentic-AI consent and referral management: 20% efficiency gain for users, tighter compliance for everyone else.
  • Turned user interviews into AI-powered prototypes that cut deliverable timelines by 15 days; took a mobile app from pain point to 300+ DAU in two months.

+$8M

ARR increased


02 · 2021–23

PwC IndiaSenior Consultant

Cybersecurity product consulting, world’s largest custodian bank · Mumbai

  • Ran the product roadmap for crypto and smart-contract security behind the industry’s first multi-asset digital platform.
  • Led a team of 15; 10/10 client satisfaction score, three years running.
  • Six business proposals pitched → two accounts won.

+$700K

ARR increased


03 · 2016–18

Sopra SteriaSoftware Engineer

Banking software for large European banks · Noida

  • Built financing-platform APIs in Java and SQL at under 3% defect density.
  • Automated server configuration with Python — 3 hours saved per instance, per week — and pushed the department to CMM Level 4.

+$1.5M

ARR increased

Education

IIT Kharagpur — MBA, Financial Analytics

2018–2020

Kanpur University (UIET) — B.Tech, Computer Science

2012–2016

Certifications
AI & Law — IIT KGPPG Diploma, Cyber Law & Forensics — NLSIULean Six Sigma Green Belt — KPMGISO 27001 Lead Auditor — BSI
Toolkit
A/B testingUser segmentationRoadmappingWireframingSQLPythonFigmaMixpanelTableau

Product teardowns

One teardown a week. Every claim traceable.

One product per week, ~5 hours of first-hand research: use it, read the founders, do the pricing math, listen to the 2-star reviews. Each one ends with a verdict and a falsifiable prediction — scored publicly every quarter.

Starts Mon · Jul 20Jul 27Aug 3…every Monday
Open the teardown log