Hybrid Compute Engineering & Business Operations Lead

Hewlett Packard Enterprise

Spring (TX)

Hybrid

USD 84,000 - 194,000

Full time

9 days ago

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Job summary

Hewlett Packard Enterprise in Texas is seeking a Compute Engineering Business Operations Manager to oversee strategic planning and cross-functional execution. This role is designed as a hybrid arrangement with an expectation of two days per week in an HPE office.

You will lead data-driven analyses, develop actionable business plans, and partner with finance, engineering, and product teams to translate plans into measurable value. Strong analytical and communication skills are essential.

Qualifications

  • Proficiency in data-driven analysis and financial modeling.
  • Experience building complex data requests and analyses.
  • Strong Excel/Access and statistical skills.
  • Ability to lead cross-functional teams and communicate clearly.

Responsibilities

  • Manages complex data and analyses to develop business plans and recommendations.
  • Constructs statistical and financial models to forecast performance.
  • Defines metrics and compares actuals to forecasts to identify gaps.
  • Leads market research projects and synthesizes trends for next steps.
  • Collaborates with cross-functional teams across business planning activities.
  • Contributes to priority projects with analyses and recommendations.

Skills

Excel
Access
Statistical analysis
Financial modeling
Project management
Relationship management
Cross-functional leadership
Communication skills
Market trend analysis

Education

First level university degree
Typically 4-6 years experience in strategy, planning, operations, finance, or related functional area

Job description

Hewlett Packard Enterprise in Texas is seeking a Compute Engineering Business Operations Manager to oversee strategic planning and cross-functional execution. This role is designed as a hybrid arrangement with an expectation of two days per week in an HPE office.

You will lead data-driven analyses, develop actionable business plans, and partner with finance, engineering, and product teams to translate plans into measurable value. Strong analytical and communication skills are essential.

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