Deputy CIO – Chief Enterprise Insights

Job Description Summary

The Chief Enterprise Insights Officer (CEI) is a transformational executive responsible for partnering with enterprise leadership to advance MUSC’s transition into a fully data-enabled, insights-driven organization. The CEI will lead the development of a foundational data ecosystem with its embedded AI architecture that connects MUSC’s missions across clinical care, research, education, and operations, and will lead the development of MUSC’s Intelligent Data Platform, integrating an AI overlay.

Medical University Hospital Authority (MUHA)

Employee

Regular

CC002269 SYS - IS Senior Leaders

Salary

Health-00

40

• Reports to:
  
  Enterprise Chief Information Officer (CIO)
• Direct leadership:
  Leaders of Data Engineering, Analytics/BI, AI/ML Ops, Data Governance/MDM, Research Computing/HPC, and EdTech/Academic Analytics
• Decision rights (shared with Legal/Compliance/CISO as appropriate):
  Enterprise data & AI standards; model approval & monitoring; data-sharing agreements; platform selection; insights program budget & portfolio
• Work model:
  Hybrid, Charleston, SC (flexible within MUSC policy);
  Travel: up to ~20% across SC partners/affiliates

• 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.

• Clinical Mission – Embed predictive and AI-driven insights into Epic and digital care models to advance population health, precision medicine, quality, and value-based care.
• Research Mission – Oversee core data architecture, data ecosystem health, and foster statewide/national data consortia.
• Academic Mission – Advance learning analytics and integrate insights into academic governance and practice
• Operational Mission – 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, Data Ops, 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…