Madhulika Arora
JP Morgan | Rapido | Target | Accenture | AbInBev
- Role
- VP Product Ai Ml Personalization and Insights at JPMorganChase
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Madhulika Arora
I am a systems thinker and product leader who thrives on turning complex technical architecture into high-impact business outcomes.Throughout my career, I have worked across every level of the value chain in Engineering and Data Science. This journey has shaped my belief that the best solutions are holistic—they don’t just address \"technical debt\" or reactive fixes, but are designed to influence user behavior and drive the bottom line.What I do: Currently, I own the product vision and execution for a centralized AI/ML platform within Consumer & Community Banking. My work centers on orchestrating enterprise-scale personalization and revenue optimization across diverse portfolio like travel, dining, and investments.I specialize in:Strategic AI/ML Integration: Moving from theory to execution by building agentic interfaces, intelligence hubs, and algorithmic orchestration that automate complex workflows.Full-Stack Problem Solving: Leveraging my roots in Engineering and Data Science to build data-validated heuristics that solve real-world problems for customers and stakeholders alike.Cross-Functional Leadership: Bridging the gap between Data Science, Engineering, and Business to establish platform standards, governance, and Responsible AI practices.My Approach: I lead with Extreme Ownership, empathy, and a demand for accountability. I’m passionate about identifying specific problems, understanding the cultural nuances of the market, and taking full ownership of the outcomes—ensuring we improve the lives of everyone in the value chain while building for the future.
Experience
VP Product Ai Ml Personalization and Insights
Jun 2024 — Present · Bengaluru, IN
Own product vision, strategy, and execution for a centralized AI/ML platform serving Consumer & Community Banking (CCB). Lead delivery of enterprise-scale personalization, customer intelligence, and revenue optimization across travel, dining, referrals, and investments.Key ML Initiatives- Agentic AI Intent Interpreter: Building agentic interfaces to direct marketing users to Doppelgänger (similarity-based cohort expansion) and Feature Forge, driving automated Audience & Scaling through behavioral segmentation and referral infrastructure- Customer Intelligence Hub: Ranking-led prioritization and LLM-based summarization for banker and customer advisory surfaces- Constraint-Based Revenue Optimization: Algorithmic budget pacing and orchestration for home-screen tiles and multi-party monetization- Conversion & Propensity Modeling: End-to-end ownership of Hotel Search Result Ranking, Likelihood to Book, and Self-Directed Investment models- Engagement & Insights: Dining Zagat precision targeting and “Customers Like You” peer-based balance insights.Operate as a cross-LOB leader, aligning Data Science and Engineering to establish platform standards, governance, and Responsible AI practices.
Education
K J Somaiya Institute of Management
PGDM, Marketing
2011 — 2013
HMR Institute Of Technology And Management
Bachelor of Technology (B.Tech.), Information Technology
2004 — 2008
Skills
- Analytics
- Business Strategy
- Pyspark
- Pre-Sales
- Management
- Analysis
- Requirements Analysis
- C++
- Business Analysis
- Analytical Skills
- Data Analysis
- Management Consulting
- Python
- Sql
- Microsoft Office
- Sas Programming
- Market Research
- Microsoft Excel
- R
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