Atul Sehdev
About Atul Sehdev
Atul Sehdev serves as the AVP, Senior Data Governance Analyst at City National Bank, where he focuses on data governance and compliance. He has a diverse background in data analysis, having worked in various roles at companies such as Boeing, Houzz, and Google.
Work at City National Bank
Atul Sehdev serves as the AVP, Senior Data Governance Analyst at City National Bank, a position he has held since 2023. He operates in a hybrid work environment based in the Los Angeles Metropolitan Area. In this role, he has developed high-level data flows for Critical Data Elements (CDE) lineage and controls, which are presented to their respective Data Domains. His responsibilities include documenting and declaring System of Records (SOR) and Authorized Provisioning Points (APPs) within Informatica Axon, ensuring compliance with data governance standards.
Previous Experience
Before joining City National Bank, Atul Sehdev accumulated diverse experience in data analysis roles. He worked as a Sales Planning Analyst at Houzz from 2016 to 2018. Following that, he was a Senior Data Analyst at VHA Corp from 2019 to 2021. He also held the position of Systems and Data Analyst at Boeing from 2013 to 2015. Most recently, he worked as a Senior Data Analyst with Synergis IT + Creative, contracting with Google, from 2021 to 2023.
Education and Expertise
Atul Sehdev earned a Bachelor of Science (B.S.) degree in Business Information Management from the University of California, Irvine, where he studied from 2008 to 2012. His educational background provides a strong foundation for his expertise in data governance and analysis, enabling him to effectively identify and assess key risks within Data Domains to enhance data quality.
Data Governance Responsibilities
In his current role at City National Bank, Atul Sehdev is responsible for ensuring compliance with data governance standards. He documents and declares System of Records (SOR) and Authorized Provisioning Points (APPs) within Informatica Axon. Additionally, he identifies and assesses key risks within Data Domains, which contributes to enhancing data quality and mitigating potential issues.