Liam Dalton
About Liam Dalton
Liam Dalton is a Senior Technical Program Manager at Liftoff Mobile, where he has worked since 2022. He holds a Bachelor of Science in Computer Science from University College Dublin and has extensive experience in program management across various technology sectors.
Work at Liftoff Mobile
Liam Dalton has been serving as a Senior Technical Program Manager at Liftoff Mobile since 2022. In this role, he is responsible for overseeing technical projects and ensuring successful program execution. His work focuses on optimizing processes and improving overall project outcomes within the mobile marketing technology sector.
Previous Experience at Brightcove
Before joining Liftoff Mobile, Liam Dalton worked at Brightcove for four years. He held two positions during his tenure, starting as a Senior Program Manager from 2017 to 2020 and then advancing to Principal Program Manager from 2020 to 2022. In these roles, he contributed to the management of programs related to video cloud services and played a key role in enhancing operational efficiency.
Career Background in Program Management
Liam Dalton has extensive experience in program management, having worked at several organizations prior to Liftoff Mobile. He was a Senior Principal Program Manager at Oracle from 2010 to 2016, where he managed complex projects in Cambridge, MA. His career also includes a position as a Senior Managing Consultant at Arcadia Healthcare Solutions from 2005 to 2010, and as a Program Manager at Art Technology Group for a brief period in 2010.
Education and Expertise
Liam Dalton studied Computer Science at University College Dublin, where he earned a Bachelor of Science degree. His educational background provides a strong foundation for his expertise in agile transformations and continuous improvement, particularly in sectors such as SaaS Video Cloud Platform, eCommerce, CRM, and Healthcare Information Technology.
Achievements in Program Management
Throughout his career, Liam Dalton has led significant initiatives that resulted in measurable improvements. He spearheaded the development and launch of machine learning models that utilized real-time Kafka data pipelines, achieving a 10% increase in net revenue for top advertiser campaigns. Additionally, he implemented metrics tracking that improved deployment frequency by 30% and lead time by 40%.