Manager AI Strategy & Operations MUSCP

Job Description Summary

Entity

Worker Type

Worker Sub-Type

Cost Center

Pay Rate Type

Pay Grade

Scheduled Weekly Hours

Work Shift

Job Description

Primary Areas of Responsibility (with % Allocation)

1. AI Opportunity Discovery & Operational Strategy 35%

• Identify operational workflows poised for AIdriven efficiency gains or cost savings.

• Lead discovery workshops and needs assessments with departments across MUSC.

• Build opportunity maps prioritize initiatives and align with enterprise strategic goals.

• Develop cadenced maintenance and AI Fine-Tuning Bias testing Audit etc.

• Identify existing AI Solutions primed for enhancement build a pipeline visible to senior officers base targeted workflows based on impact index to enterprise.

2. Team Leadership & Workforce Development 25%

• Lead a team of Jr. Data Scientists ML Engineers and a Jr. Architect.

• Provide mentorship performance management and resource planning.

• Develop skillbuilding programs and promote a collaborative AI culture.

3. Solution Development & Deployment Support 20%

• Oversee scaling of AI prototypes and solutions into enterprise environments

• Guide production readiness planning and ensure operational requirements are met.

• Ensure compliance with AI governance quality standards and risk controls.

• Process document and orient pre-assessment deployment evaluations for senior leadership review

4. ROI Measurement & Executive Reporting 10%

• Document and quantify financial and operational ROI from AI implementations measure as indirect or direct returns in revenue.

• Track performance metrics and present outcomes to senior leadership at quarterly and annual cadence.

5. Partner Engagement & Thought Leadership 10%

• Advise departmental leaders on AI feasibility adoption readiness and workflow fit provide professional assessments to partners of build vs. buy.

• Serve as an institutional subject matter expert for applied operational AI showcase examples of intentional design and successful implementations to encourage further AI application.

• Eliminate barriers and advocate for streamlined AI integration.

Additional Job Description

Required Qualifications

• Education: Masters degree required; PhD preferred.

• Experience: 35 years of relevant experience with leadership exposure in data science AI analytics operational improvement or technical program management.

• Technical Capability: Experience collaborating with data scientists ML engineers or technical teams; familiarity with applied AI/ML preferred.

• Leadership: Demonstrated ability to supervise teams and manage crossfunctional projects.

• Operational Expertise: Proven experience partnering with operational or clinical leaders to identify efficiency improvements or workflow enhancements.

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.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program please click here: Experience:

Manager