Manager, AI & Research Computing Initiatives, IS&T Research Computing
About The Position
Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experience to join our innovative and inclusive community. Join us as the Manager, AI & Research Computing Initiatives, where you will lead IS&T's strategy and planning for artificial intelligence in research computing within Research Computing Services (RCS). You will set and drive the technical roadmap for AI-enabled research computing, coordinate the facilitation, technology, and infrastructure support RCS provides to Boston University researchers, and serve as the primary technical bridge between IS&T and the University's academic and research community. As part of RCS, you will supervise the team executing this work day-to-day and partner with research computing leadership on the broader research computing strategy, specifically representing the AI/ML dimension. This position is eligible for a hybrid work schedule.
Requirements
- Diverse skills and experience
- Lead IS&T's strategy and planning for artificial intelligence in research computing within Research Computing Services (RCS)
- Set and drive the technical roadmap for AI-enabled research computing
- Coordinate the facilitation, technology, and infrastructure support RCS provides to Boston University researchers
- Serve as the primary technical bridge between IS&T and the University's academic and research community
- Supervise the team executing this work day-to-day
- Partner with research computing leadership on the broader research computing strategy, specifically representing the AI/ML dimension
- GPU and accelerator capacity planning
- Containerized and AI workflows
- MLOps tooling
- Anticipate emerging compute, data-pipeline, and model-serving needs
- Translate needs into infrastructure plans
- Serve as IS&T's internal resource on AI infrastructure
- Coordinate RCS staff daily work on research projects, incident management, and service request fulfillment
- Follow up on requests and incidents at risk of becoming overdue
- Coordinate across IS&T to ensure the necessary support and engagement are in place from technical units and research groups
- Supervise, mentor, and develop the team executing this work
- Set priorities and workload
- Manage service delivery
- Support performance management, professional development, hiring, and onboarding
- Create annual, monthly, and ad hoc resource reports on system utilization, storage services, buy-in utilization, and other operational metrics
- Provide business process analysis for research project workflows
- Engage with RCS Operations on chargeback and service models
- Coordinate academic and non-academic training provided by RCS staff
- Coordinate and manage documentation updates on RCS TechWeb pages and other RCS documentation sources
Responsibilities
- Set and drive the technical roadmap for AI-enabled research computing, including GPU and accelerator capacity planning, containerized and AI workflows, and MLOps tooling.
- Anticipate emerging compute, data-pipeline, and model-serving needs; translate them into infrastructure plans; and serve as IS&T's internal resource on AI infrastructure.
- Coordinate RCS staff daily work on research projects, incident management, and service request fulfillment.
- Follow up on requests and incidents at risk of becoming overdue, and coordinate across IS&T to ensure the necessary support and engagement are in place from technical units and research groups.
- Supervise, mentor, and develop the team executing this work by setting priorities and workload, managing service delivery, and supporting performance management, professional development, hiring, and onboarding.
- Create annual, monthly, and ad hoc resource reports on system utilization, storage services, buy-in utilization, and other operational metrics.
- Provide business process analysis for research project workflows, including large projects hosted on Secure Research Enclaves or other regulated research systems, and engage with RCS Operations on chargeback and service models as needed.
- Coordinate academic and non-academic training provided by RCS staff, including synchronous and asynchronous training and video tutorials.
- Coordinate and manage documentation updates on RCS TechWeb pages and other RCS documentation sources.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
