Assistant VP of Research & AI Enablement

Virginia Jobs$100K — $130K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in data science, information systems, educational technology, or a related field.
  • Experience in research with involvement in externally funded initiatives.
  • Leadership experience in digital innovation or technology-enabled research environments.
  • Experience with research computing environments and cloud platforms (GCP, AWS).
  • Familiarity with AI/ML technologies in research contexts.
  • Ability to lead across research, academic, and operational domains.
  • Strong collaboration skills with researchers and institutional stakeholders.

Responsibilities

  • Provide strategic and operational leadership for research and AI environments.
  • Build and operate scalable, secure, high-performance research facilities.
  • Translate research capabilities into applied solutions for academic programs.
  • Connect AI, research computing, and digital product development for new discovery models.
  • Ensure alignment and security of research environments with evolving needs.
  • Collaborate with various stakeholders to drive instructional innovation.
  • Leverage MonarchSphere to scale research outcomes into real-world applications.

Benefits

  • Hybrid work option with supplied computer equipment for remote work.
  • The ability to maintain operations during campus closures.
  • Engagement in a role that significantly impacts institutional innovation.
Full Job Description
Posting Details

Posting Details

Job Title
Assistant VP of Research & AI Enablement

Department
CTR FOR LEARN & TEACHING

Position Number
FP623A

Location
Norfolk, VA

Job Summary

The Assistant Vice President for Research and AI Enablement provides strategic and operational leadership for the environments, platforms, and capabilities that enable, power, and operationalize the university's research ecosystem through AI, research computing, and integrated digital capabilities.

Positioned within Digital Innovation, this role is uniquely designed to bridge research, teaching and learning, and operational innovation. It focuses on building and operating scalable, secure, and high-performance environments that support research, while translating those capabilities into broader institutional impact through instructional innovation and operational applications.

The AVP plays a critical role in connecting AI, research computing, and digital product development to enable new models of discovery, learning, and execution. By integrating these domains, the role helps translate research capabilities into applied solutions that support academic programs, institutional operations, and external partnerships.

The AVP serves as a key institutional connector, working closely with researchers, academic leadership, the University Information Security Office (UISO), and other stakeholders to ensure that research and innovation environments are aligned, secure, and responsive to evolving needs. The role also connects research, AI, and applied innovation through MonarchSphere, enabling the translation of research into scalable solutions, pilots, and real-world outcomes.

Position Type
FullTime

Type of Recruitment
General Public

Minimum Qualifications
  • PhD in a relevant field (e.g., data science, information systems, educational technology, or related discipline)
  • Comprehensive experience in research, including participation in or support of externally funded research initiatives
  • Significant leadership experience in digital innovation, research computing, or technology-enabled research environments
  • Considerable direct experience with research computing environments, cloud platforms (e.g. , GCP, AWS), and high-performance computing
  • Experience with AI/ML technologies and their application in research contexts
  • Demonstrated ability to lead across research, academic, and operational domains
  • Proven ability to collaborate effectively with researchers, faculty, and institutional stakeholders


Statement of Economic InterestsThis position is required to complete a Statement of Personal Economic Interest upon hire in accordance with the Code of Virginia.

Sensitive PositionsThis position is designated as sensitive. A fingerprint-based criminal history check will be required of the final candidate.

Preferred Qualifications
  • Considerable experience in higher education or research-intensive institutions
  • Considerable experience supporting interdisciplinary and data-intensive research initiative
  • Familiarity with research funding landscapes and grant development processes
  • Considerable experience aligning technology initiatives with instructional and research standards


Conditions of Employment

This is a hybrid position, requiring a traditional 40-hour work week. Computer equipment will be supplied for remote work; high-speed internet is the responsibility of the employee.

  • The equipment provided to staff with approved telework agreements enables them to deliver vital services to University faculty, staff, and students from remote locations.
  • Many of our operations can and should continue as usual, even when the main physical campus is closed.
  • Therefore, all division employees with an approved telework agreement are generally expected to work during official University closures.


Job Open Date
04/27/2026

Open Until Filled
Yes

Application Review Date
05/04/2026

Job Close Date

Special Instructions to Applicants / Additional Materials Required

Please include a resume and cover letter with the completed application.

Criminal Background Check
The final candidate is required to complete a criminal history check.

Department Information

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