Remote HPC & AI Deployment Lead

Hewlett Packard Enterprise; United States; Remote; USD 105,000 - 243,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an AMS HPC & AI Deployment Project Manager to lead complex delivery across the Americas, coordinating hardware, software, fabric, and vendor interactions.

The role is remote with a preferred base in VA, requires US citizenship and frequent travel every 2–3 weeks, and involves managing multi-team operations, budgets, and risk on large-scale deployments.

Qualifications

• Bachelor's degree or equivalent work experience with 7 years of experience in technical project management.
• PMP certification is a plus.
• Demonstrates an in-depth understanding of key company Services' operational policies, processes and methodologies applicable to project management.

Responsibilities

• Manage customer project/solution delivery.
• Collaborate with multiple teams in a customer-facing role.
• Coordinate large-scale deployments across US regions.
• Handle high-risk deployment schedules.
• Manage complex legal and commercial issues.
• Oversee project financials including P&L.
• Maintain client relationships and executive communications.
• Represent the organization to external customers.
• Lead internal project teams from multiple HPE groups.
• Coordinate internal and external resources up to 40 people.
• Mentor team members and provide development feedback.
• Provide performance reviews input.

Skills

Project planning

Technical PM

Analytical skills

Communication

Stakeholder management

Negotiation

Leadership

Education

Bachelor's degree or equivalent

PMP certification

Tools

Project management software

Job description

Hewlett Packard Enterprise is seeking an AMS HPC & AI Deployment Project Manager to lead complex delivery across the Americas, coordinating hardware, software, fabric, and vendor interactions.

The role is remote with a preferred base in VA, requires US citizenship and frequent travel every 2–3 weeks, and involves managing multi-team operations, budgets, and risk on large-scale deployments.