Hospital Health Data Governance Lead

About the Role

Imagine leveraging your healthcare data governance expertise to directly influence how AI comprehends and processes clinical and operational health information. We seek experienced Hospital Health Data Governance Leads to ensure that health data powering advanced AI models remains precise, compliant, trustworthy, and clinically relevant.

This position is a fully remote, flexible contract opportunity tailored for seasoned professionals familiar with hospital operations, data flows across clinical and operational systems, and the principles of responsible data governance.

Responsibilities

• Assess and establish governance standards ensuring hospital health data accuracy, consistency, and regulatory compliance.
• Analyze and evaluate data governance frameworks, policies, and controls covering clinical, operational, and administrative data areas.
• Detect data quality concerns, documentation gaps, and inconsistencies that could jeopardize clinical or analytical validity.
• Utilize knowledge of healthcare compliance and privacy regulations, including HIPAA, to appraise and enhance data management procedures.
• Provide expert, structured feedback regarding the classification, management, and utilization of health data within hospital settings.
• Operate independently and asynchronously, working completely on a flexible schedule.

Requirements

• Proven experience in healthcare data governance, clinical data operations, or health information management.
• Strong understanding of healthcare privacy, compliance standards, and regulatory frameworks, notably HIPAA.
• Ability to navigate cross-functional teams involving clinical, IT, compliance, and administrative personnel.
• Keen attention to detail and systematic approach to identifying and rectifying data standard deficiencies.
• Clear and precise written communication skills for documenting findings and recommendations.
• Self-driven and dependable when working autonomously.

Preferred Qualifications

• Experience with data annotation, data quality assessment, or AI training processes.
• Familiarity with electronic health records (EHR), health informatics, or clinical data architecture.
• Knowledge of data governance methodologies such as DAMA-DMBOK or FAIR data principles.
• Background supporting regulatory audits, accreditations, or clinical reporting activities.

Why Join Us

• Engage at the forefront of healthcare AI development collaborating with top AI research teams and labs.
• Enjoy full remote work flexibility and autonomy over your schedule.
• Participate in expert-level freelance projects with meaningful impact.
• Influence AI systems' understanding and handling of authentic health data.
• Contribute to AI advancements that directly affect patient care and clinical decisions.
• Opportunity for contract extensions and further projects based on performance.