DirectJobHub
Jobs · Information Technology · South Carolina

Lead - Biomedical Data Factory Team

MUSC Health · Charleston, SC · 2 mo ago
On-siteInformation TechnologyFull-time

Synthetic Data Pipeline Management & Compliance

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.

System Architecture, Maintenance & Enhancement

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.

Team Leadership & Technical Guidance

Lead and mentor Jr. Data Engineers and Jr. Architects.
Maintain documentation, operational workflows, and technical standards.
Cookordination team activities to meet service and uptime commitments.

Integration with AI Project Teams

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.

Governance, Quality & Model Integrity Support

Maintain data governance practices that support ethical model development.
Support model integrity monitoring and data risk mitigation in conjunction with 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.

Similar jobs