Deepak Senthilkumar

About Deepak Senthilkumar

As the Director of Software Engineering at LexisNexis, I lead the Data Science and Data/Analytics engineering teams, ensuring the delivery of high-quality, reliable, and scalable data solutions. With over 15 years of experience in the field, I specialize in migrating complex on-premise data-related systems to cloud-based platforms. These migrations have resulted in significant cost reductions, enhanced performance, and expedited delivery times.My expertise spans a broad range of technical disciplines, including Master Data Management (MDM) systems, databases, application engineering, Agile methodologies, systems integration, and vendor management. I excel in building and leading high-performing teams, fostering a culture of collaboration and innovation. My leadership approach emphasizes continuous improvement, skill development, and aligning team objectives with organizational goals.I am deeply committed to transforming organizations into data-driven entities equipped with actionable insights. Additionally, I had the honor of speaking at AWS re:Invent 2022, where I shared insights and best practices on cloud migration for data platforms. I am dedicated to continuous learning, collaborating with diverse teams, and driving excellence in data and analytics engineering.

Experience

1. Director, Software Engineering

   LexisNexis

   May 2021 — Present · Raleigh, NC, US

   May 2021-Jun 2025- Lead the Data and Analytics engineering teams which include Customer/Prospect/Product MDM, Warehouse, and Analytics- Successfully migrated a complex On-Premise Teradata Warehouse to Amazon Redshift, yielding multi million dollar cost savings, performance improvements, faster delivery, and reduced errors- Prioritize Data Quality, Performance, and Prospect Coverage in the realm of Customer/Prospect data- Handle critical escalations, build strategic partnerships with business/product management teams, and maintain strong vendor relationships- Built a high-performing, diverse, and talented team across multiple countries to drive innovation and performance.June 2025 onwardsIn addition to my existing responsibilities, I took on leadership of the Data Science team in the business systems area, with a focus on driving AI-powered initiatives, including- Building by an AI seller assistant (Alfred+)- Enhancing data quality for accounts and contacts, and building account hierarchies using AI- Developing advanced models for churn prediction, at-risk account identification, pricing recommendations, and upsell/cross-sell opportunities- Designing and implementing a Customer Data Platform (CDP) with a medallion architecture to deliver a 360-degree view of the customer- Building a Business Events System to streamline royalties, invoicing, cost recovery, and cost allocation processes- Developing a self-serve analytics tool that enables users ask natural language questions, converts it into SQL and delivers answers- Building an AI-powered data steward agent to automate data governance and quality management.

Education

• Birla Institute of Technology and Science, Pilani

  Master of Technology (M Tech), Software Systems-Work Integrated Learning Programme CGPA: 9.43/10

  2012 — 2014

• Kumaraguru College of Technology (Anna University)

  Bachelor of Engineering, Computer Science and Engineering (81.2%)

  2006 — 2010

Skills

• Weblogic
• Javascript
• Software Development
• Mdm
• Informatica
• Integration
• Pl/Sql
• Testing
• Linux
• Jaxb
• Php
• J2ee Application Development
• Spring Framework
• Oracle
• Requirements Analysis
• Unix
• Spring
• Java
• Java Enterprise Edition
• Enterprise Architecture
• Xml
• Sdlc
• Agile Methodologies
• Toad