AI and Data Management Specialist

Role Purpose

The purpose of this role is to lead the development and integration of AI systems, manage enterprise data platforms, ensure regulatory-compliant data governance, and drive innovation across clinical and administrative departments. The specialist will support digital transformation initiatives that enhance patient experiences, optimize resources, and strengthen data-driven decision-making.

Key Responsibilities

1. AI Solutions for Clinical & Business Applications

• Develop and deploy AI/ML models to support diagnostics, predictive care, and clinical decision-making.
• Build business intelligence models for cost optimization and enhanced patient experience.
• Integrate AI solutions into HIS/EMR, imaging, and administrative systems.
• Validate accuracy, reliability, and clinical safety of AI outputs with relevant teams

2. Data Management, Governance & Compliance

• Establish and maintain structured/unstructured data pipelines.
• Standardize data formats (HL7, FHIR, DICOM) and ensure consistent data quality.
• Implement data governance frameworks and maintain full compliance with MOH, CBAHI, HIPAA, and NCA cybersecurity standards.
• Support secure data sharing for internal dashboards and regulatory reporting.

3. IT Platform Reliability & Integration

• Design and maintain robust cloud/on-premise AI and data platforms.
• Ensure high availability, scalability, and adherence to disaster recovery protocols.
• Integrate AI/data platforms with HIS, EMR, PACS, and other clinical systems.
• Monitor system performance and execute platform improvements.

4. Security, Confidentiality & Data Protection

• Implement multi-layered security controls, encryption, and access management.
• Conduct penetration testing, vulnerability assessments, and security audits.
• Enforce strict confidentiality, especially for high-risk and sensitive data.
• Monitor, detect, and respond to cybersecurity threats.

5. Innovation, Research & Stakeholder Engagement

• Evaluate emerging AI and digital health technologies and lead innovation pilots.
• Develop technology roadmaps for continuous improvement.
• Conduct trainings and knowledge-sharing with clinical, admin, and leadership teams.
• Serve as a key liaison between ICT, internal departments, vendors, and regulators.

Requirements

Essential Minimum Requirements

• 5 years of experience in AI, data management, or advanced analytics.
• Strong experience in highly regulated industries.

Desired Experience

• 3+ years in healthcare, clinical informatics, or medical technology environments.

Education

• Essential: Bachelor’s degree in Computer Science, Data Science, AI, or related fields.
• Desired: Master’s degree in Data Analytics, Health Informatics, or AI.

Technical Skills

• Advanced proficiency in:
• AI/ML (TensorFlow, PyTorch)
• Healthcare data standards (HL7, FHIR, DICOM)
• Data security & encryption (HIPAA, NCA, MOH compliance)
• Database management (SQL, NoSQL, Data Lakes)
• Programming (Python, R)
• Intermediate proficiency in cloud platforms (Azure, AWS, GCP).