MUSC Health · 3 months ago
Deputy CIO – Chief Enterprise Insights
Charleston
Full-time
Hybrid
Director/Executive
12+ years expThe Medical University of South Carolina is seeking a transformational executive for the role of Chief Enterprise Insights Officer (CEI). This position is responsible for leading the development of a data ecosystem and advancing the organization’s insights-driven strategy across clinical care, research, education, and operations.
Health CareHospitalMedical
Responsibilities
Define and champion MUSC’s enterprise insights vision, positioning data, AI, and automation as strategic enablers of the tripartite mission and statewide health leadership
Establish and evolve the Enterprise Data Foundry as MUSC’s trusted, scalable, and interoperable foundation for innovation
Develop a multi-year insights roadmap balancing foundational capabilities with transformational use cases (precision medicine, population health, digital education)
Anticipate emerging technologies and industry trends and proactively incorporate them to maintain MUSC’s leadership position
Embed predictive and AI-driven insights into Epic and digital care models to advance population health, precision medicine, quality, and value-based care
Oversee core data architecture, data ecosystem health, and foster statewide/national data consortia
Advance learning analytics and integrate insights into academic governance and practice
Optimize workforce, finance, and operations; modernize platforms and M&A integration; expand automation and analytics to improve efficiency, patient experience, and ROI
Build and oversee Data Engineering, DataOps, and Cloud Operations teams, ensuring agility and reliability
Lead adoption of best-in-class platforms (Databricks-class analytics, Snowflake-class integration, Watsonx-class AI governance, Google HDE-class scale)
Advance MDM transformation and enterprise data stewardship
Champion interoperability (FHIR APIs, HL7) to link Epic, academic, and research systems; enable federated learning and distributed models
Co-evaluate and integrate emerging technologies (generative AI, edge computing, synthetic data) to ensure future-readiness
Design the next MUSC’s Data & AI Technological Governance Framework, setting policies for data quality, data stewardship, and enabling ethical use
Ensure compliance with HIPAA, ONC, NIH DMS, IRB, FDA, and state/federal regulations
Partner with the CISO and Compliance Officer to safeguard data privacy, cybersecurity, and AI safety
Define frameworks for ROI/ROO measurement and report to executive leadership and the President’s Council on risks, compliance, and outcomes
Drive organizational change toward a more data- and AI-enabled decision-making enterprise
Act as a bridge-builder across missions, partnering with leaders to align enterprise insights with institutional priorities
Cultivate statewide and national collaborations (HSSC, USC, Clemson, industry consortia), positioning MUSC as a trusted convener and thought leader in the data and analytics domain
Secure philanthropy, grants, and partnerships to sustain and expand insights capabilities to drive continuous maturity of MUSC’s Data Ecosystem and emerging technology enablement
Serve as a visible national voice for responsible AI, data ethics, and digital health innovation
Qualification
Required
Master's degree in health informatics, Data Science, Computer Science, Business, or related field required
12–15 years of progressive leadership in data, analytics, and digital transformation, ideally spanning healthcare and academic environments
5–7 years of direct experience with AI/ML, advanced analytics, or automation initiatives, with proven ability to move innovations from pilot to enterprise adoption
Demonstrated expertise in research computing (HPC, GPU clusters, data-intensive science)
Demonstrated expertise in academic technology platforms (LMS, grants, digital learning, education analytics)
Demonstrated expertise in multi-institutional collaborations (academic consortia, research alliances)
Demonstrated expertise in Master Data Management (MDM) transformation
Demonstrated expertise in building and leading Data Engineering, DataOps, and Cloud Operations teams
Proven success in value-based and population health analytics
Proven success in application rationalization, EHR optimization, and M&A technology integration
Proven success in engaging Provosts, Deans, IRBs, and faculty governance bodies
Visionary leadership with credibility across clinical, research, and academic domains
Expertise in data interoperability standards (FHIR, HL7, OMOP, CDISC, and academic federated identity standards like InCommon)
Strong stakeholder engagement, governance, and change leadership
Ability to build high-performance, cross-functional teams that innovate at the intersection of healthcare, research, and education
Preferred
Doctorate preferred; advanced certifications in AI, cloud, or cybersecurity highly valued
Company
MUSC Health
MUSC Health provides health-care services through its patient- and family-centered care, education, research, and various partnerships. It is a sub-organization of Medical University of South Carolina.
Founded in 1824Charleston, South Carolina, USA
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$133MKey Investors
Armadale Capital
2019-12-19Debt Financing· $133M
Leadership Team
Erik Summers
Chief Medical Officer
Recent News
HospitalManagement.net
2026-01-16
HospitalManagement.net
2026-01-11
2026-01-09
Company data provided by crunchbase