Remote Health Data Governance Lead for AI Training

Alignerr Corp.; Christchurch; Remote; GBP 55,000 - 90,000; Part time

Benefits offered by this job

Flexible schedule

Fully remote contract

Job summary

Alignerr invites an experienced Hospital Health Data Governance Lead to shape how hospital data informs AI training. You will evaluate governance standards, ensure data accuracy and security, and guide alignment across clinical and IT domains.

You will work remotely on flexible tasks, applying governance frameworks to real-world healthcare data used in AI models. Ideal candidates hold deep regulatory knowledge and communicate clearly in structured formats.

Qualifications

• Experience in healthcare data governance or health information operations.
• Strong knowledge of healthcare privacy laws and regulatory requirements.
• Ability to translate complex governance issues into clear, structured documentation.

Responsibilities

• Define governance standards for hospital health records, focusing on accuracy, consistency, completeness and security.
• Review AI-generated outputs related to clinical data workflows and compliance policies.
• Identify gaps, risks, and inconsistencies in data structures used for AI training.
• Apply healthcare regulatory knowledge (e.g., HIPAA) to evaluate data handling practices.
• Coordinate with clinical, IT and admin teams to align data policies within project scope.
• Provide structured, detailed feedback using provided evaluation tools.
• Complete task-based assignments independently and on schedule.

Skills

Healthcare data governance

HIPAA & privacy compliance

Regulatory frameworks

Clear written communicator

Tools

DAMA-DMBOK

Job description

Alignerr invites an experienced Hospital Health Data Governance Lead to shape how hospital data informs AI training. You will evaluate governance standards, ensure data accuracy and security, and guide alignment across clinical and IT domains.

You will work remotely on flexible tasks, applying governance frameworks to real-world healthcare data used in AI models. Ideal candidates hold deep regulatory knowledge and communicate clearly in structured formats.