Anurag Jindal

Anurag “AJ” Jindal is Vice President & Technology Client Partner at Vertisystem (a MOURI Tech company), with more than 18 years of experience leading large-scale AI, cloud, and data transformation initiatives across global enterprises. His work spans multi-million-dollar portfolios in e-commerce, healthcare, financial services, manufacturing, and high-growth technology environments, where he is known for turning complex delivery mandates into predictable, trust-centered operating models. A certified engineering and delivery leader with deep experience in modernization, platform engineering, and enterprise operations, AJ has built and guided globally distributed teams responsible for mission-critical programs, multi-region migrations, cloud-native transformations, managed services transitions, and high-reliability data platforms. He created and industrialized an Outcome-Based Services (OBS) playbook that hard-links SLAs and KPIs to ROI, governed through a disciplined daily → monthly → quarterly cadence combining operations reviews, MBRs, and QBRs. AJ has led AI, cloud, and data initiatives that delivered 25–35% run-ops savings, 99.9%+ availability, 90%+ CSAT, $10M+ renewals, and 115%+ YoY portfolio growth. His teams standardized multi-region cloud migration patterns, unified SRE practices, modernized data platforms into lakehouse-style architectures, and scaled 24×7 multilingual service desks using reference architectures, FinOps guardrails, and audit-ready observability and compliance controls. AJ previously held leadership roles at HCL America, Netmagic (NTT), Tulip Telecom, and Reliance Communications—building a strong foundation in managed services, network and data-center infrastructure, and enterprise solutions. He is an IEEE Senior Member, a member of the Forbes Technology Council, and a Globee® Awards for Impact winner (Transformational Leader of the Year). An active speaker, awards judge, and peer reviewer, AJ is committed to compounding value for clients and the communities he serves, strengthening reliability, reducing operational variance, and helping organizations scale responsibly as technology and complexity accelerate.