Jobs and Careers

Chief Enterprise Insights Officer (CEIO) - Information Solutions

Washington, United Statesfull_timeVerifiedPosted 10 Oct 2025

About the role

Job Description Summary

The Chief Enterprise Insights Officer (CEIO) is a transformational executive responsible for advancing MUSC’s mission of becoming a fully data and AI-enabled enterprise. Evolving from the Chief Data Analytics Officer, the CEIO shifts MUSC from analytics delivery to enterprise-wide insights enablement, ensuring measurable impact across clinical care, research, education, and operations.

Entity

Medical University Hospital Authority (MUHA)

Worker Type

Employee

Worker Sub-Type

Regular

Cost Center

CC002269 SYS - IS Senior Leaders

Pay Rate Type

Salary

Pay Grade

Health-00

Scheduled Weekly Hours

Work Shift

Job Description

The CEIO stewards the Enterprise Data Foundry, builds next-generation capabilities in data engineering, AI/ML operations, and cloud platforms, and integrates solutions across federated data environments, research computing, educational technologies, and population health analytics. As chair of MUSC’s Data & AI Governance Council, the CEIO establishes policies for ethics, security, and compliance, while fostering a culture of data literacy, talent development, and evidence-based decision-making.

Serving as both an operator and public thought leader, the CEIO delivers financial and mission value (ROI/ROO), advances precision medicine and health equity, and positions MUSC as a statewide and national leader in digital health, research informatics, and trusted AI innovation.

Reporting & Scope:

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

Key Responsibilities:

Strategic Leadership & Vision (20%)

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.

Mission Enablement Responsibilities (20%)

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 HPC, research computing and compliance; enable translational science and clinical trials; foster statewide/national data consortia.
Academic Mission – Advance learning analytics and adaptive EdTech; integrate insights into curricula, residency, and CME; align with academic governance.
Operational Mission – Optimize workforce, finance, and operations; modernize platforms and M&A integration; expand automation and analytics to improve efficiency, patient experience, and ROI.

Technology & Platform Enablement (20%)

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.