Hospital Health Data Governance Lead

Alignerr Corp.; Madrid; Remote; EUR 83,000 - 124,000; Part time

Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how clinical and operational health data underpin AI models. This remote, hourly contract role emphasizes establishing standards, ensuring data accuracy, and maintaining privacy across governance processes.

You will work with cross-functional teams to implement robust data policies and support real-world clinical analytics. The role requires deep healthcare data governance experience, HIPAA familiarity, and the

Qualifications

• Experience leading health data governance programs.
• Strong knowledge of privacy, security, and regulatory requirements (HIPAA).
• Ability to work with clinical, IT, compliance, and operations teams.

Responsibilities

• Define and enforce data governance standards for hospital health records used in AI training.
• Collaborate with clinical, IT, compliance, and operational stakeholders to align data policies and workflows.
• Evaluate and improve the quality of healthcare data used for AI model training and evaluation.
• Identify gaps in data integrity, privacy compliance, and governance controls and propose solutions.
• Enable governed data pipelines supporting patient care, reporting, analytics, and AI development.
• Work independently and asynchronously on structured, task-based assignments.

Skills

Healthcare data governance

HIPAA knowledge

Cross-functional collaboration

Detail-oriented

Tools

HL7

FHIR

Data warehousing

Job description

Hospital Health Data Governance Lead (AI Training)

About The Role

What if your expertise in healthcare data governance could directly shape how AI understands, interprets, and works with clinical and operational health data? We're looking for experienced health data governance leaders to help ensure hospital data used in AI training is accurate, trusted, compliant, and ready for real-world clinical and analytical use.

This is a fully remote, flexible contract role. You'll bring your deep knowledge of healthcare data systems, privacy frameworks, and cross-functional collaboration — and apply it at the frontier of AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Define and enforce data governance standards that ensure hospital health records are accurate, consistent, and secure
• Collaborate with clinical, IT, compliance, and operational stakeholders to align data policies and workflows
• Evaluate and improve the quality of healthcare data used to support AI model training and evaluation
• Identify gaps in data integrity, privacy compliance, and governance controls — and recommend practical solutions
• Enable governed, high-quality data pipelines that support patient care, reporting, analytics, and AI model development
• Work independently and asynchronously on structured, task-based assignments

Who You Are

• Experienced in healthcare data governance, clinical data operations, or health data management
• Strong understanding of healthcare privacy, compliance, and regulatory frameworks — including HIPAA
• Comfortable working cross-functionally with clinical, technical, and administrative stakeholders
• Detail-oriented and systematic, with a track record of maintaining data quality at scale
• Clear and structured communicator who can translate complex data policies into actionable standards

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training datasets
• Background in health informatics, clinical informatics, or health IT systems
• Familiarity with EHR platforms, interoperability standards (HL7, FHIR), or data warehousing in healthcare
• Experience in healthcare compliance auditing or regulatory reporting

Why Join Us

• Work at the intersection of healthcare data expertise and cutting-edge AI development
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, impactful work
• Gain exposure to large-scale health data systems and frontier AI model training
• Contribute to AI development that could meaningfully improve how healthcare data is understood and used
• Potential for ongoing work and contract extension as new projects launch