Product Manager at JP Morgan Chase
United States
Kajol
Jadhav
Council Member
Kajol Jadhav is an AI Product Manager with more than five years of experience building and delivering AI-powered, data-driven, and enterprise SaaS products across Financial Services, Healthcare, Automotive, Hospitality, and Industrial Technology. Her work spans the full product lifecycle, from customer discovery and roadmap definition to cross-functional delivery and post-launch optimization, with a consistent focus on translating complex business problems into scalable digital solutions.
Kajol Jadhav currently serves as AI Product Manager at JPMorgan Chase (November 2025 to present), where she leads product strategy and execution for Home Lending and Card Payment Operations. In this role, she partnered with Engineering, Architecture, Operations, Compliance, and executive stakeholders to deliver the FAS Tracker, a real-time reconciliation and lifecycle monitoring platform that resolved 12,323 delayed customer cases and established end-to-end audit traceability. She designed and built an internal AI Epic Quality Agent to evaluate product epics, standardize acceptance criteria, and improve documentation quality across teams, while also mentoring Product Managers and senior stakeholders on enterprise AI adoption. Her modernization of the eDocs Platform reduced platform maintenance by 40% and production issues by 25%, with zero customer disruption. She also directed a multi-phase IRS W-9 Digital Compliance initiative and led enterprise incident management discovery, defining a standardized governance framework for P1/P2 incidents across Card Payment Operations.
Prior to JPMorgan Chase, Kajol Jadhav worked as Product Manager at Quality Inn (June 2025 to November 2025), where she collaborated with hotel leadership and cross-functional teams to identify operational challenges and translate customer pain points into prioritized product initiatives. She defined product KPIs across occupancy, booking conversion, guest satisfaction, and operational efficiency, using product analytics and AI-assisted insights to recommend pricing and product enhancements that improved performance during low-demand periods.
At Virufy (October 2024 to June 2025), Kajol Jadhav served as AI Product Manager for an AI-powered digital health platform, defining and executing the product roadmap for a respiratory screening solution that expanded beyond COVID-19 detection to cover pneumonia, bronchitis, and asthma. She partnered with AI and ML engineers to deliver a healthcare chatbot built on Generative AI, large language models, NLP, and REST APIs. Using Google Analytics, Hotjar, and A/B testing, she identified the leading causes of user drop-off and implemented UX improvements that reduced bounce rate by 25%, increased user engagement by 15%, improved user retention by 20%, and cut navigation-related support requests by 40%. Her prioritization work using the RICE framework contributed to a 10% improvement in sprint velocity.
Kajol Jadhav currently serves as AI Product Manager at JPMorgan Chase (November 2025 to present), where she leads product strategy and execution for Home Lending and Card Payment Operations. In this role, she partnered with Engineering, Architecture, Operations, Compliance, and executive stakeholders to deliver the FAS Tracker, a real-time reconciliation and lifecycle monitoring platform that resolved 12,323 delayed customer cases and established end-to-end audit traceability. She designed and built an internal AI Epic Quality Agent to evaluate product epics, standardize acceptance criteria, and improve documentation quality across teams, while also mentoring Product Managers and senior stakeholders on enterprise AI adoption. Her modernization of the eDocs Platform reduced platform maintenance by 40% and production issues by 25%, with zero customer disruption. She also directed a multi-phase IRS W-9 Digital Compliance initiative and led enterprise incident management discovery, defining a standardized governance framework for P1/P2 incidents across Card Payment Operations.
Prior to JPMorgan Chase, Kajol Jadhav worked as Product Manager at Quality Inn (June 2025 to November 2025), where she collaborated with hotel leadership and cross-functional teams to identify operational challenges and translate customer pain points into prioritized product initiatives. She defined product KPIs across occupancy, booking conversion, guest satisfaction, and operational efficiency, using product analytics and AI-assisted insights to recommend pricing and product enhancements that improved performance during low-demand periods.
At Virufy (October 2024 to June 2025), Kajol Jadhav served as AI Product Manager for an AI-powered digital health platform, defining and executing the product roadmap for a respiratory screening solution that expanded beyond COVID-19 detection to cover pneumonia, bronchitis, and asthma. She partnered with AI and ML engineers to deliver a healthcare chatbot built on Generative AI, large language models, NLP, and REST APIs. Using Google Analytics, Hotjar, and A/B testing, she identified the leading causes of user drop-off and implemented UX improvements that reduced bounce rate by 25%, increased user engagement by 15%, improved user retention by 20%, and cut navigation-related support requests by 40%. Her prioritization work using the RICE framework contributed to a 10% improvement in sprint velocity.
Earlier in her career, Kajol Jadhav completed a Product Management internship at BMW Group focused on Connected and Intelligent Mobility (September 2023 to December 2023). She conducted more than 30 in-depth driver interviews, performed competitive benchmarking across Tesla, Mercedes-Benz, Audi, Ford, and Lexus, and collaborated with UX designers to build wireframes and interactive prototypes in Figma. Her analytical work contributed to a 20% increase in positive user reviews and a 95% user satisfaction score, while supporting a 30% reduction in diagnostic-related support requests.
Before that, Kajol Jadhav held a Product Manager role at FLSmidth India Pvt. Ltd. (January 2019 to May 2021), where she led product discovery and delivery for a cloud-based Industrial IoT SaaS platform. She managed the product backlog using the MoSCoW framework and built a cloud-hosted equipment performance monitoring platform integrating real-time IoT sensor data with AWS services. Her work reduced troubleshooting time by 30%, cut project delays by 15%, and reduced customer onboarding time by 25%. She also built interactive Power BI dashboards to visualize equipment health and operational metrics for stakeholder teams.
Kajol Jadhav holds a Master of Science in Engineering Management from Stevens Institute of Technology. She holds professional certifications including the IBM Product Manager Professional Certificate, Certified Product Manager from Product Manager Accelerator, Technology Product Managers from HelloPM, and Apple Search Ads Certification.
Before that, Kajol Jadhav held a Product Manager role at FLSmidth India Pvt. Ltd. (January 2019 to May 2021), where she led product discovery and delivery for a cloud-based Industrial IoT SaaS platform. She managed the product backlog using the MoSCoW framework and built a cloud-hosted equipment performance monitoring platform integrating real-time IoT sensor data with AWS services. Her work reduced troubleshooting time by 30%, cut project delays by 15%, and reduced customer onboarding time by 25%. She also built interactive Power BI dashboards to visualize equipment health and operational metrics for stakeholder teams.
Kajol Jadhav holds a Master of Science in Engineering Management from Stevens Institute of Technology. She holds professional certifications including the IBM Product Manager Professional Certificate, Certified Product Manager from Product Manager Accelerator, Technology Product Managers from HelloPM, and Apple Search Ads Certification.