Akhil Makol

About Akhil Makol

I’m a Senior Vice President & Principal Engineer at NatWest Group, working at the intersection of Enterprise Data Architecture, AI Platforms, and Scalable Engineering.My focus is on architecting enterprise-scale data and AI platforms that enable organizations to move from traditional data systems to AI-driven, product-centric ecosystems.Over the past decade, I’ve been passionate about solving complex challenges in:• Modern Data Engineering• Data Mesh Architecture • Enterprise AI Platforms • Responsible & Scalable AI I strongly believe the future of enterprise technology will be shaped by the convergence of data platforms, AI agents, and distributed data ownership models like Data Mesh.Beyond my day-to-day work, I actively share insights through open-source projects, technical writing, and community knowledge sharing to help engineers and architects build next-generation AI platforms.Recent initiatives include:• Round-table discussions with Industry AI CXOs• Publishing insights on building scalable data platforms • Exploring Agentic AI architectures for enterprise• Demystifying new advancements in Data, AI space• Building #AIForGoodInitiatives community on LinkedIn I’m particularly interested in collaborating on topics around:• Enterprise AI architecture• Modern data platforms• Responsible AI adoption• Data Mesh in large-scale enterprise • Independent Research/ Consulting • Mentoring and supporting professionals • Career guidance and training • Supporting Non-profit organisations Recognized as 40under40 Data & Analytics Leader’25, Top50 DevOps professionals’24 on NY, Times Square. Featured by CXO Lanes in ‘AI Sovereign’ exclusive series’26 If you’re working on enterprise AI, data platforms, or agentic systems, I’d love to exchange ideas and learn from your experience.Let’s connect and build the future of AI-driven enterprises.

Experience

1. Senior Vice President Principal Engineer - Commercial & Institutional Cdio

   NatWest Group

   Oct 2023 — Present · Gurugram, IN

   Managing Data Strategy & Cloud Architecture for Commercial & Institutional Domains. Delivering data products aligned to banking standard conceptual data modeling guidelines on AWS Data Lake. This is in alignment to our vision of creating a connected data capability that accelerates the digitisation of customer and colleague experience for enablement of AI and Analytics in the Bank.

Education

• Indian Institute of Technology, Delhi

  Associate's degree, Data Science and Machine Learning

• Udacity

  Associate's degree, Data Science

• Delhi University

  Bsc(H) Electronics, Electrical, Electronics and Communications Engineering

  2006 — 2009

Skills

• Project Management
• Access
• Sas
• Service Implementation
• Visual Basic for Applications (Vba)
• Software Project Management
• Analytical Skills
• Service Delivery
• Microsoft Access
• Software Development Life Cycle (Sdlc)
• Business Process
• Business Analysis
• Data Analysis
• Operations Management
• Vba
• Business Process Improvement
• Risk Management
• Team Management
• Analytics
• Leadership
• IT Management
• Rad
• Data Migration
• Analysis
• Software Documentation
• Sdlc
• Databases
• Market Risk
• Ms Project
• Requirements Analysis
• Sql
• Management
• Team Building
• Quality Assurance
• Credit Risk
• Business Requirements
• Training
• Sharepoint
• Resource Management
• Database Administration