Vipul Singhal

About Vipul Singhal

Senior data and analytics leader with over 17 years of experience in enterprise data strategy, machine learning, and data engineering. Currently serving as VP - Data Intelligence at Bobble AI, focusing on building and scaling analytics functions to support global stakeholders in product, marketing, and strategy. Known for expertise in developing data models, enabling cloud transformation, and establishing BI platforms. Dedicated to driving data-driven decision-making and operational efficiency through scalable platforms, automation, and advanced analytics. Passionate about aligning analytics investments with business growth and fostering collaboration to achieve impactful results.

Experience

1. VP - Data Intelligence

   Bobble Ai

   Mar 2021 — Present · Gurugram, IN

   Enterprise Analytics, Data Engineering & AI Leadership• Built and scaled the enterprise Product & Business Analytics function from ground zero, supporting global stakeholders across Product, Ads & Marketing, Content Operations, Strategy, and Internal Decision-Making• Defined the data and analytics vision, operating model, and roadmap, aligning analytics investments with business priorities and growth objectives• Established scalable data models, BI platforms, and executive dashboards, enabling leadership teams to drive data-backed strategic decisions Platform Scale, Automation & Cloud Transformation• Led end-to-end automation of data engineering workflows, improving reliability, reducing manual effort, and significantly shortening delivery timelines• Designed and executed cloud data platform strategy across AWS and GCP, including a large-scale Big Data migration from AWS to GCP• Delivered 30%+ reduction in infrastructure and platform costs through deep analysis of 3+ years of usage patterns across BI tools, EMR/Dataproc, and cloud storageAdvanced Analytics, CDP & Real-Time Data• Strengthened Customer Data Platform (CDP) architecture to enable real-time and near-real-time analytics use cases• Automated recurring insights and reporting, enabling faster experimentation, optimization, and product iteration Organization Building & Leadership• Scaled the analytics and engineering organization from 5 to 15+ high-performing team members, spanning Data Analysts, Data Engineers, and Platform Specialists• Introduced pod-based team structures aligned to Product and Business domains, significantly improving ownership, speed, and stakeholder satisfaction• Designed structured training, onboarding, and performance frameworks, successfully converting 10+ interns into full-time employees• Implemented Agile delivery practices using Jira and Slack, improving collaboration, transparency, and execution discipline

Education

• Indian School of Business

  Advanced Management Programme in Business Analytics (AMPBA) erstwhile CBA, Business Analytics Programme

  2014 — 2015

• Emmanuel Mission School, Kota, Raj

  till XII, Science

  1998 — 2003

• Indian Institute of Technology, Bombay

  B.tech, Mechanical Engineering

  2004 — 2008

• Indian School of Business

  Senior Management Programme, Senior Leadership

Skills

• Consumer Behaviour
• Powerpoint
• Fmcg
• Analysis
• Predictive Analytics
• Business Objects
• Visual Basic for Applications (Vba)
• Modelling
• Consumer Insights
• Market Intelligence
• Statistical Modeling
• Regression
• Time Series Analysis
• Analytics
• Optimization
• Business Analytics
• Logistic Regression
• Spss
• Pricing Strategy
• Statistics
• Control Charts
• Sas
• Sas Programming
• Competitive Intelligence
• Cluster Analysis
• Predictive Modeling
• Six Sigma
• Segmentation
• Analytical Skills
• Excal Vba/Macros
• Sql
• Business Intelligence
• Customer Analytics
• Linear Regression
• Market Research
• Marketing Analytics
• Sas/Sql
• Data Mining
• Vba
• Secondary Research