10 American Express AI and data science leaders
Vice President, Head of AI Labs and AI Governance, Vice President of Machine Learning and Director - GenAI are among the current titles held by these American Express AI and data science leaders, alongside directors of data science and AI/ML engineering. A reader can learn how AI and data science leaders work at American Express from people who have held the role.
Professionals to explore
Di Xu
LinkedInExperience: Vice President, Head of AI Labs and AI Governance · American Express
Di Xu has been Vice President, Head of AI Labs and AI Governance at American Express since April 2021. Di Xu was Vice President, Head of Machine Learning CoE and Customer Risk Modeling at American Express from 2018 to 2021 and Vice President, Head of Information Management Decision Science and Big Data Labs there from 2016 to 2018.
Kevin Ghorbani
LinkedInExperience: Director - Data Science · American Express
Kevin Ghorbani has been Director - Data Science at American Express since August 2024, and was Senior Manager - Data Science at American Express from 2023 to 2024. The profile lists experience in machine learning with scikit-learn, TensorFlow and keras.
Krishna Sunkara
LinkedInExperience: Director of Data Science · American Express
Krishna Sunkara has been Director of Data Science at American Express since April 2022, leading the vision, strategy, roadmap and execution of the enterprise AI/ML and advanced analytics platform. Krishna Sunkara was Senior Engineer of Artificial Intelligence at American Express from 2018 to 2022.
Mo Reza Zahrani
LinkedInExperience: Vice President of Machine Learning · American Express
Mo Reza Zahrani has been Vice President of Machine Learning at American Express since June 2022, and the profile headline reads Vice President, AI & GenAI Platforms. Mo Reza Zahrani was Director - Big Data Capabilities and Platform Development at American Express from 2016 to 2022.
Rohit Kapur
LinkedInExperience: Director-Data Science · American Express
Rohit Kapur has been Director-Data Science at American Express since September 2025, and held Director - Data Science there from 2023 to 2025, contributing to PPNR volumes modeling for stress testing. Rohit Kapur was Senior Manager - Decision Science at American Express from 2020 to 2023.
Rose Chakkoria
LinkedInExperience: Engineering Director - AI/ML · American Express
Rose Chakkoria has been Engineering Director - AI/ML at American Express since July 2024, leading a machine learning and AI team that grows AI and ML capabilities across Global Risk & Compliance Technology. Rose Chakkoria was Senior Software Engineering Manager at American Express from 2022 to 2024.
Sai Prasad Devarakonda
LinkedInExperience: Engineering Director, Data, AI/ML/Gen AI · American Express
Sai Prasad Devarakonda has been Engineering Director, Data, AI/ML/Gen AI at American Express since November 2023. Sai Prasad Devarakonda was Platform Architect & Project Leader – Enterprise Business Intelligence & Marketing Platforms at American Express from 2018 to 2022.
Weichao Ma
LinkedInExperience: Director, Data Science · American Express
Weichao Ma has been Director, Data Science at American Express since October 2023, leading a global team of 13 data scientists on US and international marketing personalization. Weichao Ma was Senior Manager, Data Science at American Express from 2020 to 2023.
Xiaobing Li
LinkedInExperience: Director - GenAI · American Express
Xiaobing Li has been Director - GenAI at American Express since January 2024, a role the listing tags at Director level. Xiaobing Li was Senior manager, Machine learning and cloud engineer at American Express from 2019 to 2021 and Machine Learning Engineer at Meta from 2021 to 2022.
Yi Chu
LinkedInExperience: VP, AI R&D · American Express
Yi Chu has been VP, AI R&D at American Express since May 2023, leading fundamental research and innovation in generative AI and NLP. Yi Chu was Sr. Director, NLP at Workhuman from 2022 to 2023, Director, NLP there from 2021 to 2022 and Senior Research Engineer at Nuance Communications from 2017 to 2018.
Choose the right perspective
Match the person's area, such as AI governance, AI research, machine learning platforms or a data science team for one business, to the decision you face. Check when each person's current role started to judge how recent their view of the work is.
Questions to take into the conversation
- 01What did you change first when you took on your AI or data science role, and why?
- 02How do you decide when a machine learning or GenAI model is ready for production in a regulated business?
- 03What has your own work taught you about setting up AI governance that teams can follow?
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About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.