Subhash K C

Lead Product Manager strategic assignment for Stellantis

Owned end-to-end architecture and strategies unifying fragmented platforms into a native platform
impacting 27M+ vehicles/users, across 14 brands in 6 regions.

Defined double life platform consolidation framework yielding €26.62M savings by 2026 and projected €41.19M annually from 2027 while protecting 5.7M vehicles on-road.

Validated MQTT traffic behavior, serving 540k+ concurrent connections and enabling new platform integration for legacy vehicle telemetry.

Led Eligibility & Prescription platform, reducing SLA to 4.5 min, achieving 92% failure rate reduction, and enabling 18M+ prescriptions annually at 98.7% precision.

Designed connected services launch framework with zero red-status across 15 milestones, and improved development throughput by 30% using refined models.

Co-owned €4.5M budget planning across quality, tech debt, resilience, and scalability initiatives.

Built agentic AI platform reducing manual PM workload by 30-40%, featuring 7 specialised agents with ≥0.85 validation and zero cloud dependency.

Owned 0→1 civic engagement platform. Scaled to 100k+ users, NPS 40→63, 54% complaint resolution rate, 28% DAU/MAU ratio during active windows.

Led development of 5 AI engines into production: Sentiment (90%), Moderation (98%), Fact-checking (200ms), Recommendations (+24% session duration).

Led real-time user event data product powering health dashboards. 88% trend prediction accuracy.

Architected end-to-end AMI product (edge → cloud → citizen portals) achieved 99.92% data acquisition, 100% OTA success, 99.7% billing accuracy, 96.6% non-technical loss reduction.

Designed middleware anti-corruption layer decoupling real-time metering data from legacy utility systems. 99.99% billing determinant synchronisation accuracy.

Owned product roadmaps across B2C, B2B, and B2G. 20% revenue growth, 30% development cost reduction.

Aligned cross-functional team of 30 professionals including 3 PMs across 5 large-scale projects and 2 R&D initiatives. 95% on-time delivery, 25% reduction in project risk exposure.

Led product discovery and problem framing for energy optimization and industrial IoT products.

Led EI-OS development, an AI SaaS platform transforming infrastructure into telemetry systems. Achieved 99.5% uptime, with edge inference latency under 50ms.

Built a multi-tenant energy analytics platform achieving over 78% monthly active sites and over 40% premium AI feature adoption, establishing recurring SaaS revenue through predictive maintenance and digital-twin capabilities.

Delivered AI-driven predictive maintenance models detecting 70-80% of equipment failures with less than 5% false positives, enabling proactive maintenance and operational cost reduction for industrial customers.

Architected an edge-cloud IoT platform integrating telemetry from industrial electrical systems (60-750 kVA panels) with real-time analytics, automated load management, and ESG reporting.

Led a 16-member cross-functional product and engineering team, improving delivery productivity by 30% and stakeholder satisfaction by 20% through Agile product development practices.

Built the Human Motion Emulation Platform for Samsung, enabling automated validation of wearable algorithms with 98.7% step detection accuracy, 97.4% gait repeatability, and 3.4× faster testing throughput, recognized with the Samsung Global Innovation Award.

Guided business strategy and execution for national and multi-city programs aligned with UN SDGs.

Boosted program efficiency by ~40% through structured planning and governance.

Built and scaled stakeholder partnerships with national institutions, driving ~80% growth in institutional collaborations.

Managed and coordinated large teams of 500+ volunteers, ensuring alignment and sustained engagement.

Drove digital outreach and community growth, scaling social media presence to 1M+ reach