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Cloud Computing Faculty Jobs (NOW HIRING)

NY · On-site

$83K - $112K/yr

Leading efforts to implement emerging cloud and storage technologies * Designing and making ... faculty, staff and community members Additionally, although not required, the following would ...

FT-Faculty Assist or Assoc Professor CIS Regular Full-Time Faculty Salisbury, NC, US Full-Time ... data analytics, cloud computing, and related technologies. * Contribute to the review and ...

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Cloud Computing Faculty information

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$62.5K

$132.2K

$213.5K

How much do cloud computing faculty jobs pay per year?

As of Sep 9, 2026, the average yearly pay for cloud computing faculty in the United States is $132,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a cloud computing faculty?

A Cloud Computing Faculty is an academic professional who teaches courses related to cloud computing technologies, architectures, and applications at a college or university. They are responsible for designing curriculum, delivering lectures, guiding student projects, and staying updated on the latest trends in cloud technology. In addition to teaching, they may conduct research, publish scholarly articles, and collaborate with industry partners to ensure students gain practical, real-world skills. Cloud Computing Faculty often have expertise in areas such as distributed systems, virtualization, cloud security, and service models like IaaS, PaaS, and SaaS.

What are some common challenges cloud computing faculty members face when teaching rapidly evolving technologies, and how are these typically addressed?

Cloud Computing Faculty often encounter the challenge of keeping course content up-to-date with fast-changing industry trends and cloud platforms. To address this, faculty regularly update syllabi, participate in professional development, and collaborate with industry partners to ensure students learn current practices. Additionally, they often integrate hands-on labs and real-world case studies to provide practical experience. Staying active in research and professional communities also helps faculty adapt their teaching to new technologies and methodologies.

What are the key skills and qualifications needed to thrive as a cloud computing faculty, and why are they important?

To thrive as a Cloud Computing Faculty, you need in-depth knowledge of cloud platforms, computing architectures, and teaching methodologies, often supported by an advanced degree in computer science or a related field. Familiarity with cloud services like AWS, Azure, or Google Cloud, as well as teaching tools and industry certifications, is commonly expected. Strong communication, mentorship, and curriculum development skills help engage students and foster a collaborative learning environment. These competencies are vital for preparing students with up-to-date industry knowledge and ensuring effective knowledge transfer in a rapidly evolving field.

What are popular job titles related to Cloud Computing Faculty jobs?

For Cloud Computing Faculty jobs, the most frequently searched job titles are:

Infographic showing various Cloud Computing Faculty job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $132,214 per year, or $63.6 per hour.

IT Manager Research Computing - Goizueta Business School

Atlanta, GA • On-site

Emory University
Hospitals • 10K+ employees

$85K - $135K/yr

Full-time

Re-posted 17 days ago


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7.7

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Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


The Manager of Research Computing provides strategic leadership for the design, delivery, and advancement of the Goizueta Business School’s research technology and data infrastructure.

This role partners closely with faculty, doctoral students, research centers, and administrative leadership to enable high-impact, data-intensive, and computationally advanced research.

The Manager leads the development of secure, scalable, and innovative computing environments that support analytics, AI/ML, econometrics, behavioral research, and interdisciplinary scholarship while ensuring compliance with institutional, legal, and funding agency requirements.

KEY RESPONSIBILITIES:

  • Manages and supervises staff and operations in an Information Technology (IT) area.
  • Advises management on issues within a specific IT area to ensure compliance and uniform systems across the division and enterprise.
  • Works closely with other area managers and directors to ensure smooth and transparent processes and systems.
  • Designs information systems and procedures to support division operations.
  • Hires, trains and supervises staff.
  • Performs related responsibilities as required.

ADDITIONAL JOB DETAILS:

  • Strategic Leadership & Research Enablement
    • Develop and execute a multi-year roadmap for research infrastructure supporting advanced analytics, AI/ML, simulation, and high-performance computing.
    • Align research computing services with faculty priorities, accreditation expectations, and the school’s strategic research goals.
  • Faculty & Researcher Partnership
    • Consult with faculty and doctoral students to assess computational, data, and software needs across disciplines (finance, marketing, strategy, operations, accounting, and behavioral sciences).
    • Provide hands-on and advisory support for grant-funded research projects, including data management plans, compliance documentation, and technical architecture.
    • Build partnerships with university IT, libraries, compliance offices, and external research consortia.
  • Technology & Infrastructure Oversight
    • Lead the design and management of secure research environments, including cloud platforms, on-premise systems, and hybrid architectures.
    • Oversee access to licensed data sources, proprietary datasets, and secure enclaves for sensitive or restricted research data.
    • Ensure high availability, performance, and scalability of research systems supporting large-scale data analysis and computational modeling.
  • Data Governance, Security & Compliance
    • Establish policies and best practices for data governance, privacy, and research data lifecycle management.
    • Ensure compliance with IRB, FERPA, HIPAA (where applicable), GDPR, and funding agency requirements.
    • Lead risk management for sensitive, proprietary, and regulated data environments.
  • Operational & Financial Management
    • Develop and manage the research computing budget, including forecasting, vendor management, and cost-recovery models.
    • Evaluate and negotiate contracts for data providers, cloud services, and research software platforms.
    • Define service models, SLAs, and performance metrics to ensure high-quality support.
  • Team Leadership & Development
    • Foster a service-oriented culture focused on innovation, responsiveness, and academic partnership.
    • Create training programs and workshops to improve research computing literacy across faculty and students.

KEY COMPETENCIES:

  • Strategic Planning & Innovation
  • Faculty Partnership & Academic Service
  • Data Governance & Compliance Leadership
  • Budget & Vendor Management
  • Team Development & Change Leadership
  • Risk Management & Cybersecurity Awareness

COMPENSATION:

  • Salary Expectation: This position's annualized salary is budgeted between $85,100 and $135,000. Salary is determined by education level, experience, and internal equity.

MINIMUM QUALIFICATIONS:

  • A bachelor's degree and five years of related IT experience including project management and lead or supervisory experience or an equivalent combination of education, training and experience.

PREFERRED QUALIFICATIONS:

  • Master's degree in a related field.
  • Experience in a top-tier research university or business school environment.
  • Familiarity with IRB processes, sponsored research compliance, and federal funding requirements.
  • Background in AI/ML platforms, high-performance computing, or large-scale data environments.
  • Demonstrated experience supporting faculty research and grant-funded projects.
  • Strong knowledge of cloud computing platforms, data governance, and research data security.
  • Excellent communication and stakeholder engagement skills.

NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

#LI-CS1


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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