VP Of AI Jobs
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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 Interests
This position is required to complete a Statement of Personal Economic Interest upon hire in accordance with the Code of Virginia.
Sensitive Positions
This 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 initiatives
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
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
Equity Statement
It is the policy of Old Dominion University to provide equal employment, educational and social opportunities for all persons, without regard to race (or traits historically associated with race including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, sex or gender (including pregnancy, childbirth, or related medical conditions), national origin, gender identity or expression, age, veteran status, disability, political affiliation, sexual orientation or genetic information. Individuals from minoritized communities, women, veterans and individuals with disabilities are encouraged to apply.
Reasonable Accommodation Request
If you are an individual with a disability and require reasonable accommodation, please contact the Division of Talent Management and Culture at (757) 683-3141.
Pay Transparency Nondiscrimination Provision
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with contractor’s legal duty to furnish information.
ODU Statement
Old Dominion University, located in Norfolk, is Virginia’s forward-focused public doctoral research university with more than 23,000 students, a top R1 research ranking, rigorous academics, an energetic residential community and initiatives that contribute $2.6 billion annually to Virginia’s economy.
Applicant Documents
Required Documents
Resume
Cover Letter/Letter of Application
Optional Documents
Supplemental Questions
Required fields are indicated with an asterisk (*).
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Find VP Of AI JobsVP Of AI Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Molex2

- Strategic Legal Practices, APC2

- Airgas1

- Bank of America1

- Invisible Technologies1

Top Industries Hiring
- Insurance3
- Education2
- Electronics & Hardware2
- Healthcare & Medical Services2
- Manufacturing2
What Employers Look For
The qualifications that appear most often in VP of AI jobs.
- 10 or more years of experience in machine learning, data science, or AI engineering
- Demonstrated success leading and scaling cross-functional AI or data teams
- Experience deploying large language models or generative AI systems in production
- Strong executive communication and ability to present AI strategy to board-level stakeholders
- Proficiency with cloud AI platforms such as AWS SageMaker, Azure AI, or Google Vertex AI
- Bachelor's or advanced degree in computer science, statistics, or a related quantitative field
Tips for Your VP Of AI Job Search
Quantify AI impact on your resume
Hiring committees for vp of ai roles want outcomes, not responsibilities. Replace phrases like 'led AI initiatives' with specific results: reduced model inference costs, shortened deployment cycles, or expanded AI-driven revenue lines. Concrete numbers clear the first screening round.
Position your technical depth carefully
VP of AI candidates often get filtered out for being too hands-on or not hands-on enough. Read each job description to gauge whether the company wants a builder-leader who codes or a strategic executive who directs engineering teams, then frame your resume accordingly.
Align your portfolio to the company's AI maturity
A company building its first AI org needs a different vp of ai than one scaling a mature platform. Research whether the employer is pre-production, growing, or optimizing before your interview, and show examples from whichever stage matches theirs.
Apply early to roles that fit
Migrate Mate lists vp of ai openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a responsible AI narrative for interviews
Most vp of ai interview panels now include a dedicated round on AI governance, ethics, or risk frameworks. Have a clear position on model bias mitigation, data privacy, and regulatory readiness before you walk in. Generic answers on this topic cost candidates senior offers.
Negotiate equity tied to AI milestones
VP of AI compensation packages often include performance equity tied to AI adoption metrics rather than standard vesting. During negotiation, clarify how milestones are defined and measured so your upside isn't tied to ambiguous internal targets you can't control.
VP Of AI Jobs: Frequently Asked Questions
Which companies are hiring the most vp of ais?
The companies hiring the most vp of ais right now include Molex, Strategic Legal Practices, APC, and Airgas, with the largest share of openings in Illinois, California, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in companies undergoing AI transformation across technology, financial services, and healthcare sectors.
How many vp of ai jobs are remote?
About 27% of vp of ai openings are fully remote or hybrid as of June 2026, reflecting the executive nature of the role and the need for cross-functional collaboration. AI strategy and governance work tends to be more remote-compatible than roles requiring frequent hands-on lab or data center presence.
How do you become a vp of ai?
Most people who reach a vp of ai role start in machine learning engineering, data science, or AI research, then move into team leadership and eventually director-level positions overseeing multiple AI workstreams. Building a record of shipping AI products into production, presenting strategy to senior leadership, and managing budget and headcount are the steps that distinguish candidates who advance to the VP level from those who stay in individual contributor or mid-management tracks.
Can you get a vp of ai job with limited leadership experience?
A vp of ai role with no prior people-management experience is rare, but candidates who led informal AI task forces, directed vendor relationships, or owned an end-to-end AI product lifecycle sometimes break through. The strongest path for someone light on direct reports is to take a staff or principal AI architect role first, build a clear record of cross-functional influence, and use that as the bridge to a formal VP title.
What does the vp of ai interview process look like?
The vp of ai interview process typically starts with a recruiter screen, followed by a hiring manager conversation focused on leadership philosophy and AI strategy. Later rounds usually include a technical deep-dive with senior engineers or data scientists, a presentation of your AI vision or a case study to the executive team, and a final cultural and values discussion with the CEO or CPO. Reference checks and a written strategic brief are common at the offer stage.
Where can I find and apply to vp of ai jobs?
You can find and apply to vp of ai jobs on Migrate Mate, which lists current openings from across the United States. Find roles that fit your background and apply directly to each listing from the same page.
See All VP Of AI Jobs
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