Associate VP for Research Computing

Responsibilities

• Lead the development and execution of a long-range strategic plan for research computing that supports the university’s R1 research mission, including investments in HPC, research storage, AI/ML environments, cloud platforms, secure data enclaves and staffing.
• Collaborate with the Vice President for Research and IT, Deans, and faculty leaders to define institutional priorities, align resources, and support cutting-edge, interdisciplinary research initiatives.
• Represent the University in national and international consortia focused on research computing infrastructure, research data governance, and secure research computing.
• Serve as a strategic advisor to executive leadership on research policy, funding, and risk management related to advanced research computing.

Qualifications

• MINIMUM EDUCATION & EXPERIENCE: Bachelor’s degree in a relevant field of study. Doctoral or advanced degree in a relevant field of study, advanced strongly preferred. Minimum of 10 years of experience in informatics and computational research, with at least 5 years in a leadership role preferred. Experience as a faculty member in higher education preferred. Experience working in research-intensive higher education environment preferred.
• Knowledge, Skills & Abilities: Deep understanding of the research lifecycle and advanced knowledge of HPC architectures, scientific software, cloud-based research environments, and large-scale data storage. Working knowledge of scientific concepts in fields such as biology, biochemistry, genomic, imaging, chemistry, physics and data science / AI. Proven ability to lead large technical teams, foster faculty partnerships, and manage multimillion-dollar research computing portfolios. Strong communication skills and ability to interact effectively at all organization levels. Broad IT experience including solutions architecture, application development, engineering, business analysis, and project management. Knowledge of IT systems management, infrastructure, applications, information security, and information management. Knowledge of federal grant funding mechanisms, regulatory standards for research data security, and the national research cyberinfrastructure landscape.