Description

You will lead the planning, design, and implementation of enterprise-scale data center, cloud, and research computing infrastructure.

This role is on-site.

Responsibilities

• Direct the full lifecycle of technical programs from concept through implementation, including business case development and transition to operational ownership.
• Translate research and institutional requirements into scalable, secure, and sustainable technology solutions for AI and HPC workloads.
• Manage cross-functional programs involving multiple stakeholder groups and business units to ensure alignment and execution.
• Develop financial analyses, including cost modeling, total cost of ownership (TCO), ROI, and budget forecasting.
• Facilitate executive-level meetings and governance forums, presenting recommendations and briefing materials to diverse audiences.

Required Skills

• Bachelor's degree in Information Technology, Computer Science, or equivalent experience.
• 5+ years of experience leading enterprise-scale infrastructure projects.
• Deep expertise in distributed computing platforms, virtualization, and container orchestration (Kubernetes).
• Proven track record in AI/ML infrastructure, HPC, GPU-accelerated computing, and large-scale storage.
• Strong background in vendor evaluation, procurement support, and contract considerations.
• Exceptional written and verbal communication skills for translating complex technical and financial data.
• Experience developing strategic roadmaps, operating models, and performance measures.

Preferred Skills

• Demonstrated ability to influence and build consensus in complex organizational environments without direct authority.
• Experience with high-speed networking architectures supporting scientific research.

Key Skills

Education

Bachelor's degree