IT Manager – Research Computing - Goizueta Business School

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Description

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

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-performanc