People’s Credit Union President & CEO, Sean Daly was part of a panel discussion on how credit unions are managing their technology vendors across multiple platforms (IT, operations, marketing/membership teams, etc.) and finding solutions to better meet their member needs through focused integration of this data. Held on April 5th, the webinar was entitled “Digital Transformation for Credit Unions”. As a leader in the practice of data management, Daly provided insights on how to address the issues around digital transformation and assessed how cloud vendors, as partners, make it more strategic and easier to secure, consume and analyze data with greater impact on members’ satisfaction. Joining Daly on the panel were Chris Sache, Founder and CEO of ThinkStack, and Jamie Jackson, Founder and CEO of Arkatechture, with Dan Boyd, Analytics Specialist for AWS (Amazon Web Services) as the moderator for the panel discussion.
“Digital transformation is most effective when you can work with partners who can integrate and collaborate with one another,” stated Sean Daly, President of People’s Credit Union, and guest panelist. “Innovative credit unions will continue to look for cloud partners to best manage these needs for greater impact on member servicing solutions and overall operations,” Daly added.
ABOUT SEAN DALY – Sean Daly is an accomplished executive with a rich blend of strategic insight, innovative leadership, financial acumen, and operations expertise in diverse industries and company sizes. Daly joined People’s Credit Union in 2017 as Executive Vice President, Chief Financial Officer, assuming the role of President and Chief Executive Officer in 2019. Previously he was with IDT911, LLC as President & Chief Operating Officer, an international cyber security and identity theft services company, as well as other Fortune 500 to community financial services businesses. Daly has served as a trusted advisor to Boards of Directors providing a wealth of diverse experience that adds value in determining strategic direction and optimal decisions.