Shuvro Chakrobartty Executive Bio

Senior Director of Data & Visualization Platform Engineering with 20+ years of progressive leadership across software engineering, data engineering, cloud architecture, visualization, analytics governance, and AI/ML solutions delivery. Shuvro helps large organizations turn complex enterprise data ecosystems into trusted decision platforms at scale.

50,000+analytics users enabled

$30M+annual platform investment managed

12K+vulnerabilities remediated

55engineers led across global platforms

99.9%platform uptime achieved

$4Mannual infrastructure savings

Leadership Focus

Enterprise data and visualization platform strategy across Databricks, Snowflake, Power BI, Tableau, Looker, Qlik, Alation, TrustLogix, DataStage, Kafka, and CDC.
Governed self-service analytics, BI ecosystem modernization, trusted data storytelling, and responsible AI/ML delivery.
Cloud-native platform architecture, high-availability data products, privacy compliance, lineage, catalog strategy, and platform economics.
Executive translation across technical, product, operational, and non-technical stakeholder groups.

Selected Outcomes

Unified enterprise analytics and data architecture foundations for governed self-service adoption at scale.
Strengthened enterprise security and compliance while completing hundreds of audits across complex analytics platforms.
Scaled cloud data lakehouse, ELT, BI, ML, and governed data capabilities across Azure and GCP.
Reduced provisioning lead time by 95% and supported 100M+ monthly finance events across global platforms.

Current Role

McKesson | Senior Director, Data & Visualization Platform Engineering

Defines enterprise-wide Data & Visualization Platform strategy, scaling governed analytics, improving platform performance and cost, supporting advanced analytics, and strengthening high-availability data products across major business functions.

Research and Teaching

Adjunct Professor at the University of Texas at Arlington, teaching graduate-level Data Warehouse & Business Intelligence and Data Engineering courses.

Author or co-author of research publications in AI ethics, fairness, explainability, machine learning benchmarking, and information systems; listed on 19 U.S. patent entries.

Education

PhD, Information Systems, Data Analytics & Decision Support, Dakota State University

MBA, Webster University

MS and BS, Computer Science, Minnesota State University, Mankato