Lead - Biomedical Data Factory Team

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. Synthetic Data Pipeline Management & Compliance – 40%

• Maintain high‑performance data pipelines meeting PI/PHI compliance standards.

• Audit, monitor, and improve data quality, performance, and lineage.

• Support model‑training workflows with high‑integrity synthetic datasets.

• Ensure operational compliance, and follow through with IS Strategies and Approaches

2. System Architecture, Maintenance & Enhancement – 25%

• Oversee lifecycle maintenance of AI Center Built Tools, patching, and upgrades to mini data infrastructure.

• Partner with enterprise architecture teams to ensure alignment with evolving systems.

• Communicate risks, dependencies, and required enhancements proactively.

3. Team Leadership & Technical Guidance – 20%

• Lead and mentor Jr. Data Engineers and Jr. Architects.

• Maintain documentation, operational workflows, and technical standards.

• Coordinate team activities to meet service and uptime commitments.

4. Integration with AI Project Teams – 10%

• Collaborate with AI Strategy & Ops, Research and AI Incubation teams to ensure data needs are met.

• Provide technical support for data provisioning, synthetic layering, and model experimentation for the AI Center activities.

5. Governance, Quality & Model Integrity Support – 5%

• Maintain data governance practices that support ethical model development.

• Support model integrity monitoring and data risk mitigation in conjunction w/IS Guidance and Policy

Key Annual Performance Objectives

• Meet synthetic data KPIs for quality, performance, and service uptime.

• Reduce dependency on core IT architecture for AI model development.

• Maintain compliance and operational stability of the synthetic data ecosystem.

Additional Job Description

Required Qualifications

• Education: Master’s degree required.

• Experience: 2–3 years of relevant experience with some leadership exposure, ideally in data engineering, architecture, synthetic data systems, or compliant data environments.

• Technical Capability: Experience in data engineering, synthetic data pipelines, ETL/ELT workflows, or regulated healthcare data systems.

• Compliance Knowledge: Familiarity with PI/PHI handling, HIPAA, or regulated‑data architectures preferred.

• Leadership: Ability to mentor junior engineers/architects and coordinate technical backlog or system maintenance cycles.

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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