The Framework that Prepares Students for the Jobs of Tomorrow
Work For Tomorrow delivers a data-driven work based learning talent pipeline framework for managing student, academia, and businesses workforce development Program performance
Custom Work Based learning experiences to generate skills and hiring insights. Skills reveal what resumes can't.
We work with business and schools to design a custom program framework that prepares student talent with skills they will need for the jobs of Tomorrow.
Our solution is focused on delivering a true end to end Talent Pipeline Development Framework for your school or business.
Discovery Session with School, Company Sponsor, and Students to determine what talent will need to know, be able to do, and what evidence is needed to prove it.
Student Worker Training , soft/hard skills. Work Based Learning Curriculum
Work Based Learning Program, Student Performance Evalution, DOL Enforcement, Company Specific Onboarding. Student Learners receive real world career experiences with organizations from around the world.
Frederick Douglas Lumpkin has been delivering IT solutions, and Human Capital services for over 25 years. He has worked with organizations such as Compuware, American Express, ADP, and Computer Associates. Throughout his tenure with these and other organizations, Fred has supported the implementation of Cloud Storage, Data migration, and Human Capital solutions.
However, Fred has always maintained a passion for developing our future workforce talent. Although he managed one of Michigan's largest full day all school year work-based learning programs for high school talent he realized a true framework that was solely focused on managing early talent pipelines was not present. He developed Work For Tomorrow to address this pressing need for our future talent.
Fred has also served as an Adjunct Professor in Information Technology for over 15 years at various Universities.
He holds a B.A. in Economics from the College of Wooster (Wooster, Ohio), a Master’s Degree in Information Systems from the University of Detroit Mercy (Detroit, MI)