Heather Lendway
About Heather Lendway
Heather Lendway serves as the Director of Applied Data Science at Cloudmed, an R1 company, where she has worked since 2022. Her previous experience includes roles at 3M, UnitedHealth Group, and Securian Financial, where she specialized in data science and analytics.
Current Role at Cloudmed
Heather Lendway serves as the Director of Applied Data Science at Cloudmed, an R1 company. She has held this position since 2022. In her role, she focuses on leveraging data science methodologies to enhance healthcare solutions and improve operational efficiencies. Her leadership in applied data science aims to drive innovation and support data-driven decision-making within the organization.
Previous Experience at Cloudmed
Prior to her current role, Heather worked at Cloudmed as a Senior Data Scientist for a period of nine months in 2022. During her tenure, she contributed to various data science projects that aimed to optimize healthcare analytics and improve patient outcomes. Her experience at Cloudmed laid the foundation for her advancement to the director position.
Experience at 3M
Heather Lendway has significant experience at 3M, where she worked as an Advanced Data Scientist and Data Visualization Specialist from 2020 to 2022. In this role, she focused on developing data visualization tools and advanced analytics solutions. Prior to this position, she was also a Data Scientist and Data Visualization Specialist at 3M from 2018 to 2020, contributing to projects that enhanced data interpretation and insights.
Career Background at Securian Financial
Heather spent a decade at Securian Financial, where she held multiple positions. She served as a Senior Analyst in IT from 2006 to 2016, followed by a role as Analytics Lead from 2016 to 2018. Her work involved analyzing data to support business decisions and improve operational processes, showcasing her expertise in data analytics and management.
Educational Qualifications
Heather Lendway earned her degree in Mathematics, Computer Science, and Statistics from Macalester College, completing her studies from 2002 to 2006. This educational background provided her with a strong foundation in quantitative analysis and data management, which she has applied throughout her career in various data science roles.