Global Head, Partner GTM - Data Foundations for AI at Amazon Web Services (AWS)
📍 Greater Boston, United States
Sam Raj Anand is a Global Head at AWS, leading the go-to-market strategy for Data Foundations for AI with partners. He is an expert in leveraging data, AI, and machine learning for business transformation, drawing on over 20 years of experience. He holds a Master of Science in Analytics from Georgia Institute of Technology.
As an alumnus of Georgia Tech, he may have an interest in their athletics programs. His professional interests also extend to major technology and consulting firms, including Oracle, Accenture, and Verizon, which he follows.
Unique fact: In a previous role, he spearheaded a project using machine learning that successfully reduced customer churn by 20%.
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Experience
23 Years
Current Role
Global Head, Partner GTM - Data Foundations for AI
Location
Greater Boston, United States
Personality Overview
How Sam shows up
Skeptic
Slow Buyer
Objective Thinker
They are quite aware of their needs and limitations, so they are unlikely to over-promise. They are heavily focused on quality and prefer doing things the right way, even if it takes time. They are thorough and always follow a systematic approach.
Priorities
Topics Sam cares about
Data for Generative AI
His current role and recent posts focus on building robust data foundations to unlock the full potential of generative AI with AWS partners.
Partner GTM Strategy
He is responsible for the worldwide partner strategy, building and executing go-to-market motions for AWS analytics and AI services.
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Career
Work history
1-2025
Global Head, Partner GTM - Data Foundations for AI
Amazon Web Services (AWS)
1-2024 - 1-2025
Global Partner Lead Data & AI, Strategic Initiatives , AWS Industries and Partner Solutions CoE
Amazon Web Services (AWS)
7-2022 - 1-2024
Global Partner Lead, Streaming & Bigdata Analytics
Amazon Web Services (AWS)
10-2017 - 7-2022
Director
Cognizant
12-2016 - 10-2017
Associate Director
Cognizant
In the press
Media appearances
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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