Alok Bari

About Alok Bari

I architect data strategies that move millions of dollars and transform how organizations operate.Over 15 years, I\'ve built my career at Amazon—scaling from data engineer to global leader leading 55+ member teams across engineering, analytics, ML, and science. My journey has been defined by one consistent theme: turning complex data challenges into measurable business outcomes.The Transformation I Drive:I don\'t just build data platforms—I build data organizations. My approach combines three core elements:1. Strategic AI Innovation: I pioneered AI agent deployments that reduced data request volumes by 40% and cut productionization costs by 30%. This isn\'t automation for automation\'s sake—it\'s fundamentally reshaping how organizations interact with data.2. Enterprise-Scale Platforms: I\'ve architected cloud-native data infrastructure managing 4+ petabytes with 99.5% uptime, processing daily transactions, and reducing data latency by 92%. Real-time insights at scale enable real-time business decisions.3. Measurable Business Impact:$XXM+ in cost savings. 12% operational efficiency improvements. ML models optimizing labor scheduling for 1M+ warehouse associates. Every technical decision ties directly to P&L impact.My Leadership Philosophy:Good data leaders don\'t just solve today\'s problems—they build organizations that can solve tomorrow\'s. I invest heavily in people: structured mentorship, career frameworks, and creating environments where innovation thrives. The teams I\'ve built continue to drive impact long after initiatives launch.Looking Forward:The future of enterprise data lies in the convergence of robust data engineering, advanced analytics, and production-scale AI. Organizations must move beyond experimental AI pilots to deliver operational transformation. Success requires sophisticated strategies from foundational data infrastructure and engineering excellence to AI implementation while maintaining rigorous governance, data quality standards, and stakeholder trust.I welcome opportunities to engage with leaders and organizations addressing:Enterprise data engineering, platform architecture, and modernization initiativesEnterprise-scale AI/ML transformation and implementationBuilding and scaling high-performance data, analytics, and engineering organizationsData governance frameworks and quality assurance strategiesTranslating data, analytics, and AI investments into measurable business value

Experience

1. Sr Manager Data Engineering & Analytics

   Amazon

   Apr 2012 — Present

   Leading Organization\'s data strategy for global fulfillment operations with single-threaded accountability for data engineering, analytics, ML engineering, and data science supporting 1M+ warehouse associates worldwide.Transformed how Amazon Fulfillment Operations leverages data through AI-first strategy and platform innovation. Reduced data request volumes by 40% through self-service AI agents while delivering $XXM+ in cost optimization. Architected cloud-native platform managing 4+ petabytes with 99.5% uptime, 92% latency reduction and enabling real-time analytics.Skills: AI Strategy | ML Engineering | Data Platform Architecture | Team Leadership | Executive Stakeholder Management | AWS | Real-Time Analytics | Data GovernanceGlobal Delivery Services Single-threaded technical leader for data and analytics across NA, EU, Japan, and emerging markets. Enterprise responsibility for big data solutions supporting WW Transportation Finance including First Mile, Middle Mile, and Last Mile operations.Built data organization from ground up, scaling from 3 to 50+ members while architecting distributed data lake ingesting 5TB+ daily. Transformed financial operations through ML-driven invoice auditing, reducing approval cycles from 100+ days to under 15 days and generating $XM+ savings.Skills: Team Scaling | Data Lake Architecture | ML Applications | Financial Analytics | Data Quality | Product Innovation | SLA ManagementCustomer Behavior AnalyticsLed data engineering strategy and operations for customer behavior analytics supporting Amazon\'s global personalization and attribution initiatives. Architected scalable data platform that powered the launch of Amazon\'s Onsite Attribution (OSA) product, processing terabytes of clickstream data to deliver personalized experiences to millions of customers worldwide.Skills: Data Architecture | Cross-Functional Leadership | Attribution Modeling | Data Governance | Customer Analytics | Product Collaboration

Education

• University of Houston

  Master of Science (M.S.), Management Information Systems

  2007 — 2009

• Nagpur University

  Bachelor of Engineering (BE), Computer Science