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Research Computing Capacity Program Manager

Inside Higher Ed
FULL_TIME Remote · US Palo Alto, CA, Santa Clara, US Posted: 2026-05-11 Until: 2026-07-10
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Job Description
🔍Business Affairs: University IT (UIT), Stanford, California, United StatesNew📁Marketing📅11 hours ago Post Date📅109127 Requisition # This is a 2-year fixed term position. Position Overview The Program Manager will collaborate with the Executive Director of Stanford Research Computing (SRC) to lead the strategic coordination of the Research Computing Capacity Planning Project, a high-priority initiative aimed at balancing on-premise and co-located data center capacity with the expansion of cloud based research technology services. This role will manage and track program activities and communications to drive the project forward, including coordination between SRC infrastructure and researcher-facing support groups and Stanford research teams, to ensure sustainable growth of Stanford’s research computing footprint. Key Responsibilities Incentive Program Management: Manage the transition of researchers to optimized platforms through the administration of incentive programs and resource allocation in collaboration with project leadership and technology providers. Cloud Service Development: Assist in defining and launching new cloud service offerings, translating researcher needs into actionable agreements and services. Program Coordination: Participate as a member of the Capacity Program leads team Act as a primary point of contact for the Research Computing Capacity Planning project and provide coordination across all assigned components of the project. Reporting: Assist in the development and presentation of regular progress updates to SRC and University leadership. Report to campus stakeholders and the program teams on a regular basis Communication: Collaborate closely throughout with the SRC researcher-facing, system administration and storage teams to ensure solutions are meeting the needs of the research team. Education & Experience Bachelor's degree and five years of relevant experience or a combination of education and relevant experience. Qualifications Proven experience in technical program or project management within a complex academic, or similar, environment Familiarity with data center operations and/or large-scale research computing infrastructure Knowledge or experience with the top cloud service offerings on the market today Ability to navigate procurement processes and vendor management Excellent communication skills to bridge the gap between technical engineers and research teams; strong interpersonal skills for effective collaboration with a diverse group of stakeholders, including senior researchers Physical Requirements *: Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Working Conditions May work extended hours, evenings, and weekends. Work Standards Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, http://adminguide.stanford.edu . The expected pay range for this position is $135,363 to $150,000 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications