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Rick Torres – Enrollment Data’s Relationship to Workforce Trends

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March 18, 2026

Podcasts

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Quantum LeapEP

Rick Torres Fireside Chat — Show Notes

Guest: Rick Torres — Former CEO of the National Student Clearinghouse; career spanning PepsiCo, Kraft, and Capital One

Overview: A fireside chat exploring data-driven decision-making in higher education, the evolving role of credentials, and how institutions can better serve students and adult learners in a rapidly changing landscape.

Key Topics Discussed:

  1. Short-Form Credentials & the Student Perspective — How students view the value proposition of short-term credentials vs. traditional degrees, and the expectation of immediate economic return.
  2. Upskilling Adult Learners — The opportunity for community colleges and technical schools to serve the 37 million Americans with some college but no degree, helping them convert prior experience into new opportunities.
  3. Real-Time Institutional Responsiveness — The imperative for schools to have the technology and agility to respond to adult learners quickly and in real time.
  4. Regional Workforce Data & Heat Maps — Using Department of Labor data, Burning Glass, and other sources to create regional skill and job demand maps, and aligning institutional offerings accordingly.
  5. AI in Vocational & Technical Fields — A Wall Street Journal survey found ~900 of ~1,000 HVAC and technical companies are using AI (pulling schematics, automating billing), highlighting the need for AI literacy in vocational training.
  6. Data Privacy & Actionable Insights — How FERPA- and HIPAA-protected data can be used responsibly to benefit learners and educators without trampling privacy.
  7. The Future of the National Student Clearinghouse — Its continuing role as a federal intermediary, its relationships with ~90% of U.S. high schools, and its work on tracking socioeconomic lift from credentials.
  8. Defining Success with Data — Torres’ “Moneyball” analogy for community colleges: institutions should define their own success through data rather than be defined by traditional metrics (e.g., the Austin Community College graduation rate story).
  9. A Personal Relationship with Data — Torres’ lifelong love of numbers and cross-referencing experiences across fields.

Key Quotes:

  • “You can either use data to define who you are, or you will be defined by it — and maybe not in the ways that you like.”
  • “The power to show who you are is in the data, and the data is right there in front of you. Don’t be defined by traditional metrics.”
  • “Is there a way to make use of data without trampling the privacy of individuals? I’m finding that the answer is yes.”

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