Yali Pollak
About Yali Pollak
Yali Pollak serves as the Director of Engineering, Data & AI at Anaplan, where he leads engineering teams across multiple countries. He has extensive experience in data engineering and artificial intelligence, having held various leadership roles in prominent tech companies.
Current Role at Anaplan
Yali Pollak serves as the Director of Engineering, Data & AI at Anaplan, a position he has held since 2022. In this role, he oversees engineering initiatives focused on data and artificial intelligence. His leadership encompasses a diverse range of engineering teams, ensuring the alignment of technology with business objectives.
Previous Experience at Anaplan
Prior to his current role, Yali Pollak worked at Anaplan as a Senior Manager in Big Data Engineering from 2019 to 2022. During this time, he contributed to the development and implementation of big data solutions, enhancing the company's data capabilities and infrastructure.
Education and Expertise
Yali Pollak earned a Bachelor of Science (BSc) in Industrial Engineering and Management, majoring in Information Systems, from Ben-Gurion University of the Negev, where he studied from 2009 to 2013. He also pursued partial studies for a Master of Science (M.Sc.) in Industrial Engineering at Tel Aviv University from 2015 to 2016.
Engineering Leadership Experience
Yali Pollak has extensive experience leading engineering teams across multiple countries, including Israel, Romania, and India. He expertly managed nine teams specializing in backend engineering, QA automation, DevOps, software infrastructure, and frontend development. His leadership has focused on enhancing operational efficiency and team performance.
Career Progression
Yali Pollak's career includes significant roles at various companies. He worked as a Project Management Officer at ELTA Systems Ltd from 2011 to 2013, followed by positions at Rakuten Viber as a Big Data Engineer and later as a Data Analytics Team Leader from 2013 to 2017. He also held a managerial position at Adobe, focusing on machine learning, from 2017 to 2019.