Deputy CIO, Academic and Research Technology - Information Solutions
About the role
The Deputy Chief Information Officer, Academic and Research Technologies, is a pivotal executive leadership role within MUSC’s Enterprise Information Solutions organization. This leader is accountable for the technology strategy, systems, and services that advance MUSC’s academic, clinical, and research missions, with direct oversight over two of the three pillars of the institution’s tripartite purpose.
Responsibilities
Define and champion MUSC’s academic and research technology strategy with a 2–3 year roadmap across student information systems, research computing, learning technology, and academic-clinical integration, aligned with system-level strategies spanning the University, Health System, and statewide initiatives, including the I3 framework.
Lead academic and research technology governance with representation from school leadership, faculty, researchers, and students, and coordinate academic application roadmaps with Central IS enterprise architecture, cybersecurity, data and analytics, and digital strategy to create a coherent, platform-rationalized environment.
Ensure strategic alignment of academic technology investments with regulatory requirements (FERPA, HIPAA in research contexts, federal sponsor mandates) and industry standards (IMS Global, SCORM, LTI).
Oversee the deployment, optimization, and lifecycle management of MUSC’s Student Information System (SIS), including student records, enrollment, financial aid, advising, degree auditing, and institutional reporting, and drive SIS maturity through targeted process automation, self-service functionality, and integration with institutional and national reporting frameworks.
Establish integration strategies and oversee specialty academic systems across the portfolio, including Learning Management Systems, clinical education and GME platforms, curriculum management, simulation, testing and assessment, library systems, and faculty credentialing, in partnership the Office of Enrollment Management (which includes Registrar, Financial Aid, Admissions, and Data & Reporting), Academic Affairs, and Student Services offices to meet institutional, accreditor, and regulatory expectations.
Oversee current CRM interface and management, addressing the ongoing gap on the SIS side, and design a future roadmap with key stakeholders to support prospective student engagement and enrollment.
Provide strategic technology leadership for MUSC’s research enterprise across the full research lifecycle, from protocol development and IRB management through data collection, analysis, and publication, building an ecosystem that accelerates investigator productivity and supports NIH rankings and extramural funding goals.
Lead development and governance of research data infrastructure (research data warehouses, biorepository systems, REDCap, clinical trial management platforms) and advance research computing capabilities, including high-performance computing, cloud research environments, and secure data enclaves in partnership with the Office of Research and Sponsored Programs, IRB, and research compliance, meeting federal grant and data security requirements.
Support translational research infrastructure that bridges bench science and clinical application, enabling investigators to leverage EHR data, genomics platforms, and population-level datasets for discovery.
Serve as the primary technology partner for MUSC’s I3 strategic initiatives, providing technology enablement, data infrastructure, and operational support for signature research programs, and enable clinical research into care model redesign through pragmatic trials, quality improvement studies, and learning health system activities.
Collaborate with MUSC’s CTSA program, cancer center, and other research enterprises to support multi-investigator, multi-site research, and advance precision medicine and genomics technology infrastructure in coordination with clinical informatics, biomedical informatics, and enterprise data platforms.
Identify and deploy AI and machine learning tools, with appropriate governance and ethical oversight, that enhance research productivity, accelerate discovery, and support cross-mission integration where research and clinical care intersect, including research-informed clinical decision support and embedded research in clinical operations.
Serve as the primary liaison between academic and research technology teams and MUSC’s Central IS organization, ensuring all deployments comply with enterprise architecture, identity management, single sign-on, data governance, cybersecurity, and network infrastructure standards.
Participate in Central IS governance and planning as the voice of the academic and research enterprise, advocating for appropriate infrastructure investment and service levels, and drive rationalization of the application portfolio through disciplined vendor management and technology consolidation.
Ensure data flows between academic, research, and clinical systems are governed, secure, and compliant, partnering with the enterprise data and analytics organization to maintain data quality and interoperability.
Partner with MUSC’s enterprise cybersecurity organization to extend monitoring, accountability, and a security-first culture across academic and research environments, including SIS, research computing, learning platforms, and data enclaves, ensuring institutional, federal sponsor, and IRB requirements are met.
Build trusted, service-oriented partnerships with Deans, faculty leadership, central finance, and local IS teams across MUSC’s colleges and research institutes through a formal engagement model that standardizes shared services and enterprise adoption while respecting local autonomy.
Extend the same structured engagement, demand intake, and responsiveness to research institute directors, core facility leaders, and principal investigators, and systematically track faculty, student, and researcher satisfaction to drive continuous improvement.
Own the Academic and Research Technology Council as the primary governance body for application prioritization, demand management, and decision-making, with transparent intake processes and capacity planning that balance project, support, and optimization work.
Ensure SIS and research platform environments maintain high availability, disaster recovery readiness, and compliance with institutional, accreditation, and federal requirements.
Lead the Academic and Research governance workstream within MUSC’s IS enterprise governance structure, represent the enterprise on architecture review boards, data governance councils, and executive IT steering committees, and give Deans, research leadership, and the Provost’s office visibility into portfolio status, risk, and progress.
Engage with the academic community, including the CIO, Provost’s office, Deans, research leadership, faculty senates, and statewide partners, and drive faculty and student satisfaction through initiatives that improve system usability and align technology with frontline realities.
Lead, develop, and inspire the academic technology and research informatics teams, fostering a culture of innovation, collaboration, and excellence.
Qualifications
Master’s degree in Computer Science, Information Systems, or related field.
10+ years of progressive experience in information technology, with a minimum of 5 years in a senior leadership role.
Proven ability to develop and implement technology strategies that align with organizational goals and regulatory requirements.
Strong understanding of FERPA, HIPAA, and other relevant privacy and security regulations.
Experience with enterprise architecture, data governance, and cybersecurity principles.
Excellent communication and stakeholder management skills.
Ability to work effectively in a matrixed environment with multiple stakeholders.
Experience with large-scale enterprise systems and applications.
Knowledge of research methodologies and data management best practices.
Experience with AI and machine learning tools and their ethical implications.