Learn more about Mo and his approach to problem solving
Mo Sayegh, MBA | MSIS | MSDS
Dynamic Product Leader with over 20 years of experience driving data-driven strategies that optimize product roadmaps, enhance user experience, and achieve significant revenue growth across e-commerce, SaaS, and healthcare technology sectors along with manufacturing/warehouse operations.
Proven track record in leading cross-functional teams to deliver scalable solutions based on data and analytics. Expert in leveraging Lean Six Sigma methodologies to build a culture of continuous improvement and innovation, with a deep commitment to empowering teams and fostering a data-centric environment for high-impact results.
Professional Experience
Education
Electrical Engineering
Electrical Engineering
Electrical Engineering
2 Year classroom and practical training on Electrical and Nuclear Engineering. Graduated top 10% of classroom phase and top graduate on practical phase.
Business Management
Electrical Engineering
Electrical Engineering
While in the Navy, I pursued a bachelors degree in Business Management and English Literature. Completed 105 credit hours at CSU before leaving to join Amazon.com
Business Management
Electrical Engineering
Masters in Business Administration
While at Amazon.com, I completed my undergraduate studies through the University of Phoenix.
Masters in Business Administration
Masters in Business Administration
Masters in Business Administration
After leaving Amazon.com, I began a path of continuous learning through my GI Bill funding. In 2010 I completed an MBA with a 4.0 GPA.
Masters in Information Science
Masters in Business Administration
Masters in Information Science
Continuing my path of continuous learning , I completed this masters with an aim on learning more technical computer skills. My degree completed in 2021 with a 3.83 GPA
Masters in Data Science (2025)
Masters in Business Administration
Masters in Information Science
To learn more about Machine Learning and advanced analytics. I embarked into UNT's Data Science program. I am expected to graduate in 2025 with a 4.0 GPA.