Veena Jagannathan

Director - Data Engineering, Slalom Build
Dallas, Texas,United States
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Who Is Veena Jagannathan?

Total Experience26 years
CompanySlalom Build
CountryUnited States

Veena Jagannathan is a highly accomplished product leader with extensive experience in artificial intelligence, machine learning, cloud computing, and enterprise software. She currently serves as the Head of Products for Amazon Bedrock at AWS AI, where she is instrumental in shaping the strategy and development of services that make foundation models from leading AI companies accessible to customers. Veena is passionate about democratizing AI and empowering developers and businesses to innovate with generative AI. Her career has been marked by a consistent drive to build impactful products, scale businesses, and lead high-performing teams in dynamic tech environments. Prior to AWS, she held significant product leadership roles at companies like Splunk and Microsoft, focusing on areas such as AIOps, observability, and data analytics.

Veena Jagannathan LinkedIn pageCompany Website

How Did Veena Jagannathan's Career Path Shape Their Journey?

Veena Jagannathan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Slalom Build - Director - Data Engineering(2021 to Present)
AT&T - Transformation Lead(2016 to 2021)
Cricket Wireless - Director - Technical Architecture(2012 to 2016)
Capgemini - Director - Senior Manager(2007 to 2007)
AT&T / BellSouth - Consultant - eCommerce Strategy and Planning(2006 to 2007)
Accenture - Senior Manager - Business Solutions Management(2005 to 2006)
BellSouth International, Inc. (AT&T) - Delivery Manager(1997 to 2001)

What Are Veena Jagannathan's Key Achievements?

Head of Products, Amazon Bedrock, AWS AI

Leads the product vision, strategy, and execution for Amazon Bedrock, a fully managed service offering access to a choice of high-performing foundation models from leading AI companies via a single API, along with a broad set of capabilities to build generative AI applications.

Driving Generative AI Innovation at AWS

Plays a pivotal role in advancing AWS's generative AI offerings, enabling customers to build and scale generative AI applications with security, privacy, and responsible AI in mind.

Leadership in AIOps and Observability

Previously contributed significantly to the AIOps and observability space at Splunk, helping organizations leverage AI and machine learning to improve IT operations and gain deeper insights from their data.

Champion for Women in Technology

Often involved in initiatives and discussions promoting diversity and inclusion in the tech industry, serving as a role model for aspiring female technologists.

What's Veena Jagannathan's Educational Background?

Nanodegree, Programming for Data Science

Udacity - Year 2020

B.S, Electrical Engineering

University of Mumbai

M.S, Electrical Engineering

University of Tennessee

Buying Intent Signals for Veena Jagannathan

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Notable news
Hiring actively
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Corporate Finance

Company Overview

Slalom Build
Total employees13000
HeadquartersSeattle
Founded2001

Slalom Build is the global custom software development and technology arm of Slalom, a modern consulting firm focused on strategy, technology, and business transformation. Slalom Build specializes in designing and creating cutting-edge, cloud-native software and data products. They partner with clients to accelerate innovation, engineer new capabilities, and deliver impactful digital experiences using agile methodologies, human-centered design, and a product-centric approach. Their expertise spans custom application development, cloud migration and modernization, data engineering, AI/ML solutions, and IoT.

Company Website
Slalom Build Funding Information
Unknown - Total Funding Raised
Not applicable - Most recent funding amount
Not applicable - Number of funding rounds
Not applicable - Latest funding round
Lead Investors:
Slalom is a privately held company, primarily employee-owned through its history and further supported by its management.

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