Assistant Vice President - Emerging Technologies

Position Description

Performs executive, administrative duties concerning various aspects of operational management in support of the Service Plus philosophy and mission of Texas Tech.

• Strategic Leadership
  - Formulate and execute a university-wide strategy for emerging technologies, with a focus on AI, quantum technologies, and future computational paradigms.
• Strategic Leadership
  - Establish governance frameworks for ethical, secure, and responsible use of emerging technologies. Develop the Emerging Technology organization.
• Technology Enablement
  - Lead the design, deployment, and operation of advanced computing infrastructure (e.g., HPC clusters, GPU farms, quantum access platforms, hybrid cloud environments).
• Technology Enablement
  - Ensure scalable, secure, and high-performance environments for research and experimentation. Partner with research offices to support grant development, large-scale initiatives, and interdisciplinary programs.
• Faculty and Academic Support
  - Enable faculty to integrate emerging technologies into curriculum and pedagogy. Support development of new academic programs, certificates, and experiential learning opportunities in AI and quantum-related fields. Provide technical guidance and resources for faculty-led research and student engagement.
• Partnerships and External Engagement
  - Build and maintain strategic partnerships with industry, government agencies, national labs, and startups. Drive collaborative research, workforce development programs, and technology transfer initiatives. Represent the university in regional, national, and global technology dialogs.
• Workforce Development and Community Impact
  - Advance programs, in partnership with academic organizations, that prepare students and professionals for careers in emerging technology fields. Promote access to advanced technologies across communities. Support initiatives that apply emerging technologies to address business and societal challenges.

Master's degree in computer science, engineering, physics, or a closely related field. Minimum of 10 years of progressive leadership experience in academia, industry, or government in a technology-focused role. Demonstrated experience managing advanced research infrastructure or large-scale technical programs. Proven record of collaboration across disciplines and with external partners. Strong understanding of the research funding landscape and experience supporting or leading grant‑funded initiatives.

• PhD in computer science, engineering, physics, or a closely related field.
• Experience with high-performance computing (HPC), distributed systems, cloud computing (AWS, Azure, GCP), and data infrastructure.
• Experience leading AI or quantum technology initiatives at a research-intensive institution or major organization.
• Record of scholarly publications, patents, or significant contributions to emerging technology fields.
• Experience with technology commercialization, startups, or tech transfer.
• Familiarity with national or international technology consortia and public‑private partnerships.
• Experience in workforce development, continuing education, or community engagement programs.
• Knowledge of regulatory and ethical frameworks related to AI and advanced technologies.

$169,200 - $220,000 - $270,700

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.