Lourdes Manickam

About Lourdes Manickam

I am a senior Data & Solution Architecture leader with 18+ years of experience building AI-ready, cloud-native data ecosystems across Banking, Payments, and Retail. My work focuses on enabling GenAI and advanced analytics by designing scalable, governed, and high-quality data platforms that translate business strategy into measurable outcomes.Over the course of my career, I have led large-scale data modernization and platform transformation programs, unifying complex enterprise data landscapes into analytics- and AI-consumable architectures. I specialize in cloud migrations, enterprise payments data, fintech integrations, and regulated financial environments where data quality, governance, and risk controls are critical for AI adoption.I partner closely with business, product, and engineering leaders to enable AI and GenAI use cases—by building the foundational data capabilities required for LLM consumption and future agentic workflows. I am passionate about mentoring teams, shaping platform strategy, and helping organizations move from legacy data systems to AI-enabled enterprises.Areas of Expertise: GenAI Enablement & AI-Ready Data Architecture Agentic Systems Data Foundations Enterprise Data Platform Strategy Cloud Data Architecture (GCP) Data Modernization & Legacy Transformation LLM-Consumable Data Pipelines Payments, Banking & Fintech Systems ETL Architecture (Ab Initio, SQL, PL/SQL) Data Warehousing, Data Marts & Lakehouse Cloud Migration & Platform Enablement Stakeholder & Executive Collaboration Program & Architecture Leadership Agile, Scrum, Waterfall, Lean

Experience

1. Payments Technical Lead Architect

   KeyBank

   Sep 2023 — Present · Austin, TX, US

   Architect and lead AI-ready data platforms supporting Corporate Cards, Merchant Services, Healthcare Payments, Electronic Payments, and Lockbox solutions. Designed scalable cloud-native architectures on Google Cloud Platform to support advanced analytics,intelligent automation, and future GenAI use cases. Partner closely with product, engineering, and business stakeholders to translate business outcomes into data and AI platform capabilities. Provide technical leadership and mentoring to architecture and development teams across complex, multi-platform ecosystems.

Education

• College Of Engineering, Anna University

  M.Tech (1999)

• The University of Texas at Austin

  Post Graduate Progrm in Artifical Intelligence and Machine Learning, Artificial Intelligence

  2020 — 2021

Skills

• Python
• Analysis
• R
• Data Warehousing
• Business Analysis
• Requirements Analysis
• Unix
• Cognos
• Business Intelligence
• Db2
• Requirements Gathering
• Big Data
• Etl
• Ab Initio
• Sdlc
• Solution Architecture
• Agile Methodologies
• Data Analysis