HPC AI Data Center Manager

HPC AI Data Center Manager

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

This people leader fosters a high performing team of HPC system administrators.  The leader is responsible for determining the assignments and priorities of the team; deeply understanding the needs of performance benchmarking, sales, support, and R&D in order to negotiate shared use of Data Center resources; leads decision making to ensure the most efficient mix of systems in the data center; tracks resources and allocations; and acts as an SME for new system procurements.

Responsibilities:

• Provides direct and ongoing leadership for a team of individual system administrators managing HPC and AI systems and coordinating projects utilizing multiple engineering disciplines for products, systems, software, and solutions.

• Manages headcount, deliverables, schedules, and costs for multiple ongoing projects, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.

• With the performance and R&D teams design the most efficient lab to meet the needs of all users. Responsible for procuring the systems and getting them installed in time for required benchmarks and development work.

• With the R&D teams ensure the involvement of the system administrators in the development of the next generation HPC and AI systems.

• Communicates project status and escalates issues to direct managers, program managers, and internal and external development partners. Facilitate negotiations between teams for most efficient use of limited lab resources.

• Ensure the HPC AI Data Center team meets their SLA with all users. Prioritize the work of the admins to best meet all requirements with limited resources.

• Manages relationships with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating with outsourced resources.

• Proactively identifies opportunities for process improvement and cost reductions opportunities. Contribute to future plans for the data center.

• Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development; ensures that proper knowledge and career development tools are in place to support ongoing team member and process development.

Education and Experience Required:

• Bachelor's degree is required: Computer science, Business, or MIS.

• 15+ years of Data Center work experience.

• 5+ years of people management experience.

Knowledge and Skills:

• Strong leadership skills, including coaching, team-building, and conflict resolution.

• Advanced project management skills including time and risk management, resource prioritization, and project structuring.

• Strong analytical and problem solving skills.

• Ability to manage human capital across geographies to drive workforce development and achieve desired results.

• Strong verbal and written communication skills, including negotiation, presentation, and influence skills.

• Advanced business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains.

• Strong multi-tasking and prioritization skills.

• Strong communication skills (e.g. written, verbal, presentation).

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional