Full-Time

Associate Vice President

Research Computing and Data

Updated on 9/3/2026

Carnegie Mellon University

Carnegie Mellon University

11-50 employees

University training problem solvers and innovators

No salary listed

No H1B Sponsorship

Pittsburgh, PA, USA

In Person

Master's, PhD

Category
Engineering Management (1)
Required Skills
Graphics Processing Unit (GPU)
High Performance Computing (HPC)
Machine Learning
Computer Networking
Customer Service
Data Governance

Get referred to Carnegie Mellon University

See people who can refer or advise you

Requirements
  • A master's degree is required; a PhD is preferred, or comparable education and relevant experience may be considered.
  • At least 10 years of experience in research computing, with demonstrated success in leadership roles.
  • Proven management and strategic leadership skills, with the ability to lead research computing development and coordination across university colleges and programs.
  • A comprehensive grasp of current standards and emerging paradigms in high-performance computing.
  • Proven ability to recruit and lead a team developing and implementing large-scale, cross-functional initiatives in complex, decentralized environments.
  • Ability to develop a sustainable business model for leadership-class computing and manage complex capital and operating budgets with multiple funding sources and time horizons.
  • Ability to create and lead a large-scale initiative in a federated academic environment by integrating existing resources and developing new ones.
  • Experience building sustainable partnerships across organizational boundaries, including with external partners.
  • Ability to engage sponsors, funders, advisors, donors, and elected officials in support of the university's research computing vision.
  • Familiarity with and participation in the national research-computing and high-performance computing ecosystem.
  • Broad knowledge of deployment and management of high-performance computing systems, including CPUs, GPUs, storage, file systems, networking, visualization, job schedulers, and scientific applications.
  • Understanding of technologies relevant to high-performance computing applications, including artificial intelligence, training, inference, simulations, digital twins, and quantum computing.
  • Experience leading the implementation and execution of research computing capabilities and day-to-day high-performance computing systems operations.
  • Ability to adapt and expand research computing capabilities for computationally intensive research, emerging scientific and engineering needs, and educational activities.
  • Experience addressing facilities requirements for research computing infrastructures.
  • Demonstrated understanding of data security, compliance, export-control standards and regulations, and information security frameworks for compliant research involving controlled or restricted data.
  • Knowledge of and experience promoting policies and processes for appropriate access, storage, use, and sharing of data.
  • Demonstrated ability to engage with academic researchers across a wide range of disciplines and user experience levels.
  • Record of contributing to successful funding proposals and business-development initiatives.
  • Ability to manage change and implement innovative solutions involving external partnerships with industry, federal agencies, foundations, and other institutions.
  • Demonstrated consulting and customer-service skills for engagement with faculty, students, and staff across academic disciplines.
  • Successful pre-employment background check.
  • Current legal authorization to work in the United States.
Responsibilities
  • Define and execute a university-wide vision for leadership-class research computing and data aligned with the university's mission and strategic goals.
  • Expand scalable and sustainable models for service delivery, funding, and resourcing.
  • Define the university's engagement with Pittsburgh Supercomputing Center through complementary investments and synergies.
  • Represent the university in national and international research computing communities.
  • Partner with Government Relations and the Business Engagement Center to engage officials and expand strategic industry partnerships.
  • Lead the expansion of research computing, including cloud integration and specialized hardware utilization.
  • Develop a roadmap for translational computing and scalable architectures and services.
  • Oversee deployment of artificial intelligence accelerators, machine learning frameworks, advanced engineering platforms, and next-generation physics simulation capabilities.
  • Partner with external organizations and vendors to bring solutions to campus.
  • Ensure the security, reliability, and scalability of research computing infrastructure.
  • Balance on-premises and cloud resources through a multi-year approach that considers sustainability.
  • Develop cyberinfrastructure for researchers across the university.
  • Lead the design, build-out, and operational maturation of controlled research data and computing environments across cloud and on-premises platforms, including policies, technical safeguards, service models, and cross-campus coordination.
  • Act as the primary liaison for research computing and data across the university's colleges.
  • Participate in developing competitive proposals for external funding opportunities.
  • Consult with university stakeholders and Pittsburgh Supercomputing Center partners to develop an operating model for leadership-class computing resources covering development, refresh, access, utilization, funding, and user policy.
  • Collaborate with stakeholders to identify emerging trends and technologies and develop strategies to leverage them for research capabilities.
  • Establish and maintain user support mechanisms for research-computing resources.
  • Build capacity for research involving controlled or restricted data and respond to changing regulatory requirements.
  • Collaborate with the Information Security Office and Research Security Office to develop and implement research-computing security and compliance policies and procedures.
  • Collaborate with campus stakeholders to develop data collection, management, and governance structures supporting the full data lifecycle, including protected health data and other controlled data.
  • Ensure best practices in data management and sharing, including adoption of Findability, Accessibility, Interoperability, and Reusability principles.
  • Work with academic leaders, faculty, and administrative offices to align research computing partnerships with internal capabilities.
  • Build internal communication channels and resources for identifying, pursuing, and managing partnership opportunities.
  • Represent the university at conferences, corporate forums, and industry forums.
  • Build, supervise, and mentor a team of research computing professionals and promote a collaborative, service-oriented culture.
  • Serve as a connector between internal and external stakeholders to foster trust, transparency, and shared success.
Carnegie Mellon University

Carnegie Mellon University

View

What Carnegie Mellon University does: It provides higher education and research across a wide range of fields, especially technology, engineering, sciences, and the arts, helping students become ready to enter the workforce and pursue innovative work. How its products work: It offers degree programs (bachelor’s, master’s, doctoral) and professional schools where students learn through classes, labs, projects, research opportunities, and collaborations with industry and the community. How it differentiates from competitors: CMU combines strong strengths in STEM with arts and design, interdisciplinary programs, and active collaboration with industry partners, all supported by a culture that emphasizes hands-on problem solving and real-world impact. What the goal is: To train capable graduates who can solve real problems, drive innovation, and contribute to technology, the arts, and society in meaningful ways.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

Get referred to Carnegie Mellon University

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • NSF selected CMU’s RETI Consortium in July 2026, strengthening energy and infrastructure research funding.
  • CMU’s Robotics Innovation Center won FieldAI as inaugural tenant, validating commercialization momentum in 2026.
  • CMU and the Gates Foundation launched Learnvia in January 2026, expanding national student-success reach.

What critics are saying

  • CMU faces a federal research squeeze; Jahanian warned of 15% F&A cuts and $40 million shortfall.
  • SEI laid off 75 employees in October 2025 after federal funding disruptions hit its contract base.
  • The Title VI antisemitism lawsuit and Fence vandalism keep legal and campus-climate risk elevated.

What makes Carnegie Mellon University unique

  • CMU ranked No. 1 in 2026 graduate computer science, including AI, systems, and programming languages.
  • The February 2026 Robotics Innovation Center anchors CMU’s robotics, physical AI, and automation ecosystem.
  • Amazon launched the CMU-Amazon AI Innovation Hub in October 2025 for deep industry collaboration.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Holidays

Professional Development Budget

Wellness Program

Commuter Benefits

Childcare Support

Growth & Insights and Company News

Headcount

6 month growth

12%

1 year growth

15%

2 year growth

15%