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Dinesh Thangaraju

Head of AWS Data Platform at Amazon

Seattle, Trinidad and Tobago

Dinesh Thangaraju is a senior technology leader and certified Chief Data Officer with 15+ years building and scaling enterprise data and analytics platforms across global teams. He has led large engineering organizations at AWS to architect secure, self service data ecosystems, drive multi year transformations that eliminated silos and improved time to insight, and deliver material cost efficiencies and adoption growth across hundreds of product teams worldwide.

He holds executive credentials from Stanford GSB (LEAD Corporate Innovation) and Carnegie Mellon University (Chief Data Officer), an MS in Computer Science from UNC Charlotte, and a BE in Computer Science from Anna University. Dinesh is the inventor on US Patent 11,789,911 B1 (scalable granular database permissions) and US Patent 11,899,806 B1 (unified data catalog and permissions framework), reflecting his focus on secure, scalable data architectures that advance enterprise analytics and governance.

Available For: Advising, Authoring, Consulting, Influencing, Speaking
Travels From: Seattle
Speaking Topics: Enterprise Data Management, Data and AI Governance, Enterprise AI and Analytics

Speaking Fee $500 (In-Person), $100 (Virtual)

Dinesh Thangaraju	Points
Academic	0
Author	2
Influencer	27
Speaker	0
Entrepreneur	0
Total	29

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Amazon

Head of AWS Data Platform

Company Type: Enterprise

Minimum Project Size: $25,000+

Average Hourly Rate: $25-$49

Number of Employees: 100,000+

Company Founded Date: Undisclosed

Media Experience: 1-2 years

Areas of Expertise

Agentic AI

AI 30.03

AI Ethics

AI Governance

AI Infrastructure

AI Orchestration

Analytics

Big Data

Careers

Change Management

Emerging Technology

Generative AI 30.07

IT Leadership

IT Strategy

Leadership

Management

Predictive Analytics

Project Management

Risk Management

Industry Experience

High Tech & Electronics

Other

Utilities

Publications & Experience

2 Article/Blogs

Generative BI: The Evolution of Business Intelligence Through Generative AI Integration
International Journal of Multidisciplinary
January 16, 2025

The rapid advancements in Generative Artificial Intelligence (AI) are ushering in a
new era for traditional Business Intelligence (BI) systems. This paper explores the
emerging field of Generative Business Intelligence (Generative BI), which represents
the convergence of BI and cutting-edge Generative AI technologies

See publication

Tags: AI, Generative AI

Edge data governance: Frameworks and approaches for distributed data management at the network edge
International Journal of Multidisciplinary
August 06, 2024

The exponential growth of edge computing has shifted data processing closer to its
source, enabling low-latency applications and real-time decision-making. However,
this distributed architecture introduces significant challenges in data governance,
including data security, compliance, and policy enforcement across disparate
environments.

See publication

Tags: AI, Generative AI