Summer 2026
UberNew York, NY
Program Manager MBA Intern
- Synthesized 15 rider and executive assistant interviews into a segmentation framework across 4 premium travel contexts, establishing the customer profile and support expectations for the 1,100-trip NY/NJ Elite pilot
- Clustered 6,000+ Uber Black support tickets using Python text embeddings and validated clusters against a hand-coded sample, uncovering 4 contact drivers misclassified by the legacy tag taxonomy in over 10% of cases
- Benchmarked Core Uber, Uber Elite, and Blacklane across 7 service levers, prioritizing proactive support, tiered SLAs, and agent specialization to define the future-state support model, driving CSAT from 4.60 to 4.80
- Designed the target-state concierge model for post-close Blacklane integration, scoping 4 day-one disruption types and dependencies across 7 Product and Ops teams; presented to the Global Head of Mobility