The University of South Carolina is seeking to revolutionize its digital landscape and establish itself as a nationally recognized hub for cutting-edge innovation, research, and data-driven excellence by defining and executing an enterprise-wide vision for artificial intelligence, advanced analytics, and high-performance research computing.
Requirements
- Deep experience in research computing, data strategy, and AI/ML applications.
- Demonstrated ability to design and apply AI/ML solutions, such as natural language processing and predictive analytics, to improve academic, research, and operational outcomes.
- Comprehensive understanding of high-performance computing and cloud-based platforms to support and scale data-intensive research initiatives.
- Expertise in implementing data privacy, compliance, and ethical standards to ensure responsible AI and analytics practices across the university.
- Proficiency in leveraging data and performance metrics to assess IT service effectiveness, drive continuous improvement, and align with institutional goals.
- Demonstrated expertise in strategic planning and managing integrated IT processes, such as AI lifecycle management, data governance, and research computing support, to align enterprise technology initiatives with institutional priorities.
- Doctorate in Computer Science, Data Science, Statistics, or a related field.
Responsibilities
- Lead and manage enterprise AI, data, and research computing strategies, aligning with institutional priorities and academic goals.
- Champion ethical, secure, and scalable AI and analytics practices, ensuring compliance and promoting responsible innovation.
- Oversee and grow research computing infrastructure that supports complex, interdisciplinary research at scale.
- Serve as a key advisor and thought leader, representing USC in national and industry collaborations.
- Build an inclusive, service-oriented culture that empowers students, faculty, and staff through digital transformation.
- Responsible for overseeing the development, implementation, and governance of advanced analytics platforms, AI tools, and research computing environments.
- Responsible for unifying and advancing the university’s enterprise AI, data analytics, governance, and research computing strategies to support the complex needs of an R1 institution.
Other
- Has a proven track record of leading cross-functional teams and managing enterprise AI or data analytics initiatives.
- Demonstrates a commitment to data ethics, privacy, and governance in a complex institutional environment.
- Brings strategic vision and operational excellence to IT service delivery.
- Thrives in a fast-paced, collaborative culture where curiosity and innovation are valued.
- Requires a bachelor’s degree in a job-related field and at least 10 years of job-related experience, including some prior management experience.
