Deputy CIO – Chief Enterprise Insights

Job Description Summary

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Job Description

The Chief Enterprise Insights Officer (CEI) is a transformational executive responsible for partnering with enterprise leadership to advance MUSCs 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 MUSCs missions across clinical care research education and operations and will lead the development of MUSCs Intelligent Data Platform integrating an AI overlay.

Evolving from the Chief Data Analytics Officer role the CEI shifts MUSC from analytics delivery to enterprise-wide insights enablement. The CEI will steward the Enterprise Data Foundry build next-generation capabilities in data engineering AI/ML operations and cloud platforms and integrate solutions across federated data environments research computing educational technologies and population health analytics.

This leader will co-develop a business-led system-level data governance framework and refine the current Data and AI Governance model to align with enterprise priorities. The CEI will establish policies for the security and compliance of MUSCs data ecosystem while fostering a culture of data literacy workforce development and evidence-based decision-making.

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 MUSCs 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 MUSCs 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 MUSCs 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 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.

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.

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.

Governance Security & Compliance (20%)

Design the next MUSCs 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 Presidents Council on risks compliance and outcomes.

Change Leadership & Partnerships (20%)

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 MUSCs Data Ecosystem and emerging technology enablement.

Serve as a visible national voice for responsible AI data ethics and digital health innovation.

Additional Job Description

Requirements (Education Skills Experience Licensure Registry Certification):

Education:

Masters degree in health informatics Data Science Computer Science Business or related field required.

Doctorate preferred; advanced certifications in AI cloud or cybersecurity highly valued.

Experience

1215 years of progressive leadership in data analytics and digital transformation ideally spanning healthcare and academic environments.

57 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:

o Research computing (HPC GPU clusters data-intensive science).

o Academic technology platforms (LMS grants digital learning education analytics).

o Multi-institutional collaborations (academic consortia research alliances).

o Master Data Management (MDM) transformation.

o Building and leading Data Engineering DataOps and Cloud Operations teams.

Proven success in:

o Value-based and population health analytics.

o Application rationalization EHR optimization and M&A technology integration.

o Engaging Provosts Deans IRBs and faculty governance bodies.

Skills & Competencies

o Visionary leadership with credibility across clinical research and academic domains.

o Expertise in data interoperability standards (FHIR HL7 OMOP CDISC and academic federated identity standards like InCommon).

o Strong stakeholder engagement governance and change leadership.

o Ability to build high-performance cross-functional teams that innovate at the intersection of healthcare research and education.

Success Measures

o Enterprise Data Foundry is recognized as a statewide and national model with successful MDM transformation creating a single source of truth.

o Broad adoption of insights and literacy programs with measurable improvements in clinical outcomes research productivity and student success.

o Operational and financial value realized through platform rationalization automation and ROI/ROO tracking.

o Governance and compliance are upheld ensuring responsible AI privacy and regulatory alignment while advancing health equity and community impact.

o MUSC is nationally recognized as a hub for enterprise insights and trusted AI attracting grants partnerships and philanthropy.

Physical Requirements

• Mobility & Posture
  • Standing: Continuous
  • Sitting: Continuous
  • Walking: Continuous
  • Climbing stairs: Infrequent
  • Working indoors: Continuous
  • Working outdoors (temperature extremes): Infrequent
  • Working from elevated areas: Frequent
  • Working in confined/cramped spaces: Frequent
  • Kneeling: Infrequent
  • Bending at the waist: Continuous
  • Twisting at the waist: Frequent
  • Squatting: Frequent
• Manual Dexterity & Strength
  • Pinching operations: Frequent
  • Gross motor use (fingers/hands): Continuous
  • Firm grasping (fingers/hands): Continuous
  • Fine manipulation (fingers/hands): Continuous
  • Reaching overhead: Frequent
  • Reaching in all directions: Continuous
  • Repetitive motion (hands/wrists/elbows/shoulders): Continuous
  • Full use of both legs: Continuous
  • Balance & coordination (lower extremities): Frequent
• Lifting & Force Requirements
  • Lift/carry 50 lbs. unassisted: Infrequent
  • Lift/lower 50 lbs. from floor to 36: Infrequent
  • Lift up to 25 lbs. overhead: Infrequent
  • Exert up to 50 lbs. of force: Frequent
    • Examples:
      • Transfer 100 lb. non-ambulatory patient 50 lbs. force
      • Push 400 lb. patient in wheelchair on carpet 20 lbs. force
      • Push patient stretcher one-handed 25 lbs. force
• Vision & Sensory
  • Maintain corrected vision 20/40 (one or both eyes): Continuous
  • Recognize objects (near/far): Continuous
  • Color discrimination: Continuous
  • Depth perception: Continuous
  • Peripheral vision: Continuous
  • Hearing acuity (with correction): Continuous
  • Tactile sensory function: Continuous
  • Gross motor with fine motor coordination: Continuous
  • Selected Positions:
    • Olfactory (smell) function: Continuous
    • Respirator use qualification: Continuous
• Work Environment & Conditions
  • Effective stress management: Continuous
  • Rotating shifts: Frequent
  • Overtime as required: Frequent
  • Latex-safe environment: Continuous

If you like working with energetic enthusiastic individuals you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race color religion or belief age sex national origin gender identity sexual orientation disability protected veteran status family or parental status or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications merit and business need.

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