Preferred: Candidate have Universitiy / State client experience
Minimum Qualifications
Bachelor’s degree in Information Technology or Computer Science, or equivalent combination of education and experience.
Demonstrated experience leading the planning, design, and implementation of enterprise-scale data center, cloud, or research computing infrastructure, including high-performance computing (HPC), GPU-accelerated computing, large-scale storage, and high-speed networking architectures that support scientific research and artificial intelligence (AI) workloads.
Demonstrated technical expertise in modern compute, storage, networking, and AI infrastructure technologies, including distributed computing platforms, virtualization and container orchestration (e.g., Kubernetes), cloud services, and
AI/ML infrastructure, with the ability to translate research and institutional requirements into scalable, secure, and sustainable technology solutions.
Demonstrated experience developing programs or initiatives from concept through implementation, including business case development, stakeholder alignment, governance design, and transition to operational ownership.
Experience developing financial analyses, including cost modeling, total cost of ownership (TCO), return on investment (ROI), budget forecasting, and vendor pricing evaluations.
Experience managing cross-functional programs involving multiple stakeholder groups, business units, or organizational entities.
Demonstrated experience facilitating executive-level meetings, workshops, and governance forums, including preparation of briefing materials and presentation of recommendations.
Exceptional written, verbal, and presentation communication skills, with the ability to translate complex technical and financial information for executive, business, and technical audiences.
Experience evaluating and working with technology vendors, including solution assessments, procurement support, contract considerations, and pricing model analysis.
Demonstrated ability to influence, build consensus, and achieve results without direct authority in complex organizational environments.
Experience developing strategic roadmaps, operating models, governance structures, and performance measures for enterprise initiatives
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