Cloud Engineering Manager — AI-Driven Leader (Hybrid)

Hewlett Packard Enterprise Company in

Durham (NC)

Hybrid

USD 137,000 - 315,000

Full time

2 days ago
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Job summary

Hewlett Packard Enterprise seeks an Engineering Manager to lead a skilled team delivering complex cloud software and tools. The role blends strategic direction with hands-on guidance across multiple projects in a hybrid office setting.

You will collaborate with AI experts and executives to steer IT initiatives, manage staffing, budgets, and schedules, and ensure high-quality outcomes across cloud engagements. A strong leadership and technical background is essential.

Qualifications

  • Bachelor's or master's degree in computer science, engineering, information systems, or related field.
  • Typicaly, 7-10 years' experience, including 0-2 years of people management experience.

Responsibilities

  • Provides strategic leadership for a diverse team responsible for designing, developing, and delivering complex system software and tools.
  • Manages headcount, deliverables, schedules, and budgets across multiple projects.
  • Collaborates with managers and executive teams to communicate progress and influence decisions.
  • Builds partnerships with vendors, setting expectations for deliverables and timelines.
  • Identifies opportunities for process improvement, cost efficiencies, and risk mitigation.
  • Collaborates with AI experts to define AI innovations in products and processes.
  • Oversees talent management, including hiring, coaching, and career development.
  • Oversees project planning and delivery to ensure on-time delivery and high quality.

Skills

Cloud platforms
Leadership
Communication
Project management

Education

Bachelor's or master's degree in CS/engineering/IS

Job description

Hewlett Packard Enterprise seeks an Engineering Manager to lead a skilled team delivering complex cloud software and tools. The role blends strategic direction with hands-on guidance across multiple projects in a hybrid office setting.

You will collaborate with AI experts and executives to steer IT initiatives, manage staffing, budgets, and schedules, and ensure high-quality outcomes across cloud engagements. A strong leadership and technical background is essential.

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