Areas of expertise
The disciplines Meenakshi Thanikachalam practises as Chief Data & AI Officer at Popular Bank.
Five Pillars of Leadership
Enterprise AI & Agentic AI in Banking
AWS Bedrock · LLMOps · RAG · MCP
Practitioner-executive in enterprise AI at Popular Bank — leading foundational infrastructure for AWS Bedrock, including model registry, LLMOps pipelines, RAG architectures, vector databases, and MCP integration. Agentic AI architecture covers single-agent and multi-agent frameworks for autonomous banking workflows.
Enterprise Data Strategy & Governance
AWS · Snowflake · Redshift · MDM
Data strategy covering architecture, data products, engineering, governance, MDM, and privacy. At Ally Financial, architected an AWS/Snowflake/Redshift ecosystem serving 8.5M customers at 99.99% uptime. At Popular Bank, unified data for 3M customers — improving trusted data usage 60%+ under FDIC, FRB, NYDFS & PCI compliance. See Data Mesh vs Data Fabric and Customer 360 + AI.
Cloud Architecture & Digital Modernization
AWS · FIS IBS · TSYS · Salesforce
Cloud-native migration of 100+ applications and 200+ data sources to AWS, Snowflake, and Redshift — achieving 35% agility improvement with full disaster recovery. Core banking modernization with FIS IBS & TSYS delivered 40% transaction performance improvement and 99.9% reconciliation accuracy. AI-powered email-to-case system handles 80,000+ cases/month, halving agent handling time.
Executive Leadership & Operating Model
$54M P&L · 300+ Professionals · NA / EMEA / APAC
Over $54M in P&L accountability with leadership of 300+ professionals across North America, EMEA, and APAC. Scaled data organizations from 1 to 200+ and directs multi-million dollar vendor portfolios. Advises CEOs, CROs, CIOs, and Board Technology & Risk Committees. Board-level AI investment thesis: AI ROI for the Board →
Model Risk & Responsible AI
SR 11-7 · FDIC · NYDFS · GDPR · SOX
Two decades navigating AI regulation in financial services — FDIC, Federal Reserve Board, NYDFS, PCI-DSS, CCPA, GDPR, SOX, and SR 11-7 model risk management. Frameworks detailed in Responsible AI Governance and Navigating AI Compliance.