Vipul Amin

About

I am a senior technology leader focused on building and scaling enterprise data and AI platforms that deliver measurable business impact. My scope spans strategy, architecture, and execution—evolving data platforms into AI-enabled capabilities while ensuring reliability, governance, security, and cost discipline at scale.

Over my career, I have led complex data and cloud transformations across global enterprises and growth environments. I bring a systems-level perspective that connects platform architecture, operating models, and team execution to business outcomes such as revenue enablement, risk reduction, and cost optimization.

Across my roles, I’ve led:

• Cloud modernization and enterprise data platform strategy
• Snowflake, AWS, Starburst, Alteryx, and ELT/ETL integration transformations
• Complex separation initiatives, including decoupling enterprise data platforms during large-scale corporate transitions
• Performance engineering, FinOps-driven cost optimization, and automation
• Cross-functional leadership across product, engineering, business, and offshore teams

Currently, I am driving a roadmap that expands traditional data platforms into AI-powered capabilities—including intelligent data pipelines, automated data quality and anomaly detection, metadata-driven governance, and AI-accelerated self-service analytics. I partner closely with business, product, and engineering leaders to prioritize high-value AI use cases and ensure they are grounded in reliable, well-architected data foundations.

As a change agent, I focus on enabling reusable, extensible, and monetizable data assets while embedding AI responsibly into the enterprise. My objective is to help organizations move beyond experimentation and deliver AI at scale—with trust, performance, and measurable business impact.