Santosh Durgam is a Sr. Manager of Software Engineering at Morningstar with 20+ years of experience building governed, high-scale data platforms across retirement, broader financial services, and healthcare. In his current role, he leads data engineering and analytics while driving cross-team efforts across strategic data initiatives and products in the retirement space—delivering production-grade data lakes, lineage-aware pipelines, and AI/ML-enabled analytics that translate strict regulatory governance into measurable business outcomes.
A frequent international keynote and conference speaker, Santosh bridges enterprise data architecture with applied AI research. He has delivered keynote addresses at global academic and industry forums—including ICDPN-2025, ICISTRF 2025, and ICAIMIS 2026—and has been a featured speaker at major U.S. technology conferences and user groups such as Data Summit Boston, AI Loves Data NYC, SQL Saturday Minnesota, Chicago Cloud Computing User Group, TriPASS, and Data Engineers in Toronto. His talks focus on regulated Data Mesh architectures for financial AI, resilient AWS data pipelines, and multi-cloud disaster recovery.
Santosh is also a published researcher and IEEE Senior Member whose peer-reviewed work spans ML-driven financial network security, CI/CD data validation, scalable cloud governance, and record-keeper data quality frameworks—including IEEE paper presentations at ICONSTEM 2025. Beyond speaking and publishing, he actively serves the global tech and academic communities as a technical session judge and peer reviewer for international conferences (such as ICICAEAS 2025) and industry software awards, as well as a dedicated mentor to engineering and product leaders. He holds an Executive MBA from the Quantic School of Business and Technology, sharpening his focus on strategy and value creation at the intersection of data, risk, and AI.