TRISHA BHATIA

AI/GenAI Product Leadership

• Owned end-to-end product strategy for FlexIQ (Harbinger), an LLM-based analytics companion enabling natural language queries across 20+ data sources. Conducted customer research through structured interviews with PMs, BIEs, and operations teams to identify bottlenecks in table discovery and metric definitions. Built multi-quarter roadmap covering metric expansion, Harmony UI migration, xBR Bridger, and marketplace models. Scaled to 500+ weekly active users generating 2K+ monthly queries at 93% accuracy, saving 1K+ annual PM/BI hours through self-service insights.
• Led strategic GenAI opportunity assessment (Project LENS) across Flex operations through research with 40+ stakeholders spanning fraud, compliance, safety, and performance teams across multiple regions. Identified and quantified 8 problem categories with $107M Y1 value potential. Analyzed opportunities across business impact, technical feasibility, and user adoption risk. Authored PRFAQ for 'OnRoad Buddy' multi-modal AI assistant, securing L7 leadership approval and adoption into Transporter Copilot roadmap.
• Driving AI agent development roadmap for Flex Analytics, including xBR Bridgers, domain-specific agents, self-service onboarding, and marketplace extensions for cross-org adoption (Pricing, UK Ops, Fraud). Established KPIs including accuracy rate (93%), query volume, weekly active users, and time saved to monitor performance and inform roadmap decisions. Implemented semantic validators and metadata enrichment strategies, recovering accuracy from 88% to 93% within 3 weeks.
• Launched Harmony UI through structured beta program with 50 users across 5 PODs, prioritizing essential features (chat history, session timeout, feedback storage, CSV download) over comprehensive scope for rapid value delivery. Used beta feedback to refine production readiness before full rollout. Analyzed inaccuracy patterns revealing 72% of failures in Text2SQL due to metadata gaps, partnering with on-call BIEs to implement accuracy check mechanisms and catalog metadata deficiencies.

Product Strategy & Cross-Organizational Alignment

• Orchestrated OP1/OP2 planning for Flex Analytics across 15+ business PODs (DPX, Marketing, Safety, Fraud, DAG, AMZL, WW Safety, Supply Planning Tech, Finance, Capacity, Pricing). Consolidated 100+ inputs into structured roadmap themes: Products & Engineering, Program & Tech Initiatives, Insights & Advanced Analytics, and Compliance & Legal. Facilitated leadership reviews providing clarity on priorities, dependencies, and resource considerations. Established transparent roadmap governance mechanism enabling cross-POD visibility and strategic alignment for 2025-2026.
• Made strategic trade-off decisions balancing immediate requests with long-term platform investments. Advocated for DTO Expansion, WBR Bridger expansion, AI-led visualization, and Nucleus metadata platform—recognizing these would self-serve blocked tickets and free capacity for Harbinger use case expansion. Deprioritized requests with unclear user intent, supporting scalable product-driven solutions over repeated reporting work.
• Supported development of 3-year plan and QBRs by synthesizing inputs from multiple owners and ensuring consistency across strategic deliverables, contributing to coordinated planning process and ongoing roadmap governance.

Technical Program Management & Platform Migration

• Led analytics readiness for Quick Commerce India launch, establishing backward-planned execution timeline coordinating 20+ data and enforcement systems. Mapped signal flows, schema changes, and data availability for QC-specific onboarding and enforcement logic. Made critical scalability decisions: advocated for separate enforcement logic vs. centralized model anticipating expansion to 8+ regions, and pushed for flexible identifier strategy over DP-level flags to prevent technical debt across future launches. Delivered all commitments on-time through rigorous dependency tracking and cross-team alignment.
• Drove org-wide Alchemy-to-QuickSight migration for Last Mile Product & Technology (S-team goal), coordinating migration of 1,200 users, 1,950 licenses, and 1,024 workbooks across DSP, Geospatial, Routing, LMAQ, and other teams. Created data-driven prioritization framework through usage analysis showing 35% zero-view workbooks, 5% QuickSight duplicates, and 15-20% critical xBRs. Focused migration on critical dashboards first, enabling completion one week ahead of schedule and $600K annual cost savings through session-based pricing model.
• Designed communication plan covering expectations, migration guidance, escalation paths, and status tracking. Engaged site admins regularly to address blockers and implemented permission controls preventing new workbook creation during transition. Successfully navigated pushback from teams requesting full migration by presenting time-vs-effort trade-offs backed by usage data.

Data Products, Automation & Analytics

• Built unified data model for Flex driver enforcement using AWS services (QuickSight, Cradle, Athena), reducing discrepancies in defect attribution and enforcement. Developed QuickSight automation tool and led program reducing manual exemptions by 25% through automated analysis and data-driven insights.
• Led Enforcement Thresholds review, developing automated p-value analysis model for regional defect probabilities, enhancing fairness across enforcement decisions and improving DPx metrics. Conducted exemption impact analysis using Double Difference method and test control groups, developing dashboard exposing loopholes and publishing whitepaper guiding delivery metric improvements.
• Investigated complex flex driver termination claims, analyzing multi-team data to validate decisions and recommend policy improvements for 'Order not picked up' enforcement, ensuring data-driven and fair operational practices.
• Automated Weekly Business Review and Quarterly Review reporting for multiple teams, eliminating manual report generation and saving 100+ PM hours for data-driven insights. Developed audit team performance tool with automated metrics, case selection, audit assignments, and data security features.
• Designed regression-based model to optimize ad spend and ACOS, providing advertisers with predictive insights into potential ROI based on various metrics.

• Led Money Transfer analytics managing engagement and retention metrics using SQL. Developed RFM models, churn analysis, growth accounting, and probability cohorts driving business insights. Executed end-to-end campaign management from planning to business impact calculation using internal tools (Engage, Pulse, Dehleez).
• Spearheaded Consumer App KPIs Data Funnel and led KYC, current account, savings account, and physical debit card growth initiatives across customer segments in Payments Bank. Drove customer segmentation for campaign targeting, evaluated campaign effectiveness, and managed pricing and discounting strategies.
• Partnered directly with VP and CEO on data analysis for investor presentations, creating visualizations (PowerPoint/Excel) and analytical findings for strategic decision-making. Worked on RBI data validation using Hive and SQL, presenting insights to executive leadership.
• Analyzed historical trends of customer behavior and response, preparing in-depth data summaries regarding customer behavior patterns and coverage constraints. Worked on digital promotion channels and reporting dashboards for tracking campaign effectiveness.

• Conducted Content Affinity analysis for efficient marketing and predictive content-customer mapping. Led regression models and promotion response curves for multiple client analyses, driving data-driven marketing strategies.
• Managed team of two business analysts while preparing client presentations and documentation. Analyzed historical data trends and customer response patterns, preparing in-depth summaries regarding customer behavior and rep coverage constraints.
• Worked with APAC clients on digital marketing projects, providing analytical insights and strategic recommendations for campaign optimization and customer engagement.

• Developed business architecture analyzing client requirements through document analysis, interviews, brainstorming, and workflow analysis. Conducted 5+ levels of testing (functional, regression, UAT, integration, performance) to verify client needs were met.
• Built Pareto analysis reports for clients showing statistical progress and productivity at management level. Led client relationships and mentored team of five to understand requirements, applications, tools, and processes.