Rajat Dixit
Product Manager – Platform & Data | Jio
- Role
- Product Data Manager at Jio Platforms Limited Jpl
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Rajat Dixit
Building large-scale actions platform that powers service reliability, self-diagnostics, and proactive remediation for 25M+ Jio Home users.I own end-to-end delivery across diagnostics, service-quality monitoring, service notifications, and self-healing workflows. My approach is rooted in analytical rigor, translating complex operational telemetry into real-time actions across the customer journey.Delivered measurable outcomes: customer churn reduction in targeted segments, elimination of thousands of daily avoidable field-engineer dispatches, and recurring multi-crore monthly savings (both OpEx and CapEx) through intelligent workflows.I focus on turning operational friction into scalable, self-service capabilities via strong systems thinking and data-driven problem framing. This involves defining success metrics, performing deep-dive analysis into system behavior, and making disciplined trade-offs across CX, reliability, and cost-to-serve.Currently exploring the intersection of Agentic AI and analytical workflows for next-generation decision support. I thrive in platform roles that require high-scale execution and a deeply analytical product sense.
Experience
Product Data Manager
Jul 2024 — Present · Navi Mumbai, IN
Owned a real-time actions platform enabling self-diagnostics, self-healing, and customer notifications across service journeys for 25M+ users, supporting customer service, field operations, and executive CX reporting- Eliminated 10K+ daily unnecessary field engineer dispatches, saving ₹15Cr+ monthly, by designing workflow primitives that converted telemetry and issue signals into real-time operational actions across care and field teams- Improved first-call resolution by 35% and reduced average handle time by 60% by operationalizing a telemetry-driven issue correlation and classification engine across core service APIs and agent-facing workflows- Reduced churn by 22% in targeted segments by embedding predictive churn risk models into core service APIs and customer journeys, enabling prioritized handling and differentiated experiences for high-risk users- Reduced infrastructure cost-to-serve by ₹50Cr+ annually by leading a shift to event-driven state detection and automated issue-to-resolution flows for 25M+ high-concurrency devices- Reduced dependency on engineering teams by launching GenAI-powered self-serve analytics with natural language querying for business and operations users.
Education
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Master of Business Administration - MBA, Business Intelligence & Analytics
2022 — 2024
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Bachelor of Technology - BTech, Electrical, Electronic and Communications Engineering Technology/Technician
2019 — 2024
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