Cognizant Technology Solutions
Salesforce partner onboarding platform
Led delivery of a Salesforce-integrated onboarding and case management platform with external healthcare partners.
I'm Deepam Khirwar. For 10+ years I've defined what enterprise platforms should do and run the programs that get them there on time - across healthcare, fintech, and SaaS, for organizations serving 5M+ people.
Four programs, in my words - where I picked up each one and what I'd change if I ran it again.
Owned product strategy and MVP scope for a 0-to-1 platform across 15 cross-functional teams, using phased rollout and member research to lift satisfaction 25% and mobile engagement 30%.
Defined the intake process and review criteria for an org-wide AI governance framework, adopted across 15+ business units and cutting compliance escalations 45%.
Owned end-to-end program governance - cadence, escalation path, and dependency tracking - for 80+ contributors, hitting 100% on-time delivery and cutting cross-team delays 35%.
Built the org's first enterprise experimentation framework - governance, tooling, and prioritization - scaling from ad hoc testing to 12+ concurrent experiments.
A few more projects from along the way, beyond the four above.
Led delivery of a Salesforce-integrated onboarding and case management platform with external healthcare partners.
Introduced an AI-assisted requirements documentation workflow, reclaiming a full sprint of engineering capacity per quarter.
Partnered with engineering leadership to redesign release governance and prioritization, stabilizing release cadence.
Standardized delivery workflows across six engineering pods, cutting rework and accelerating time-to-production.
Partnered with engineering and data science to redesign dashboards and personalized recommendations for a crypto analytics platform.
Led a cross-functional innovation team from discovery through executive presentation for an intelligent troubleshooting solution.
Four principles that show up in every program above.
Find where a problem actually shows up for the person living it before scoping a solution around it.
The frameworks that stick are the ones built with the people who'll use them, not handed down to them.
Pull the number before the opinion - it changes which conversations are even worth having.
Blockers get surfaced the day they appear, not saved for the next status meeting.
2013 – present
Own product strategy and program governance for enterprise healthcare platforms serving 4M+ members, including a 0-to-1 pharmacy transparency platform and an org-wide AI governance framework.
Owned roadmap execution across 10+ engineering teams, sustaining 95%+ sprint predictability and delivering 8 regulatory programs on time.
Partnered with engineering and data science to redesign cryptocurrency analytics dashboards, lifting customer satisfaction 23%.
Led a cross-functional innovation team through discovery, prototyping, and executive presentation for an intelligent troubleshooting tool.
Translated stakeholder requirements into technical specs for enterprise FMCG clients, delivering dashboards that lifted operational efficiency 24%.
Co-founded a market research and analytics startup from the ground up, growing the client roster to 15+ businesses over three years.
Graduate coursework in systems analysis, information architecture, and data-driven decision making - the technical foundation for a PM/TPM career.
Undergraduate engineering foundation in electronics and communication systems, the technical base for a decade building enterprise software and platforms.
Work I build on my own time, connecting product thinking to real systems design.
A self-directed personal project: a mobile tool that turns "what will this cost me" into a real answer - your price, a cheaper alternative worth asking your doctor about, and the nearest pharmacy that actually has it at that price. Includes a full system design write-up (HIPAA-aware architecture, guardrails that keep the AI panel from ever making a clinical call) and a fully clickable mobile prototype.
Open to Product Management, Technical Program Management, and platform / AI governance roles.