AI and Data Management Specialist

2 days ago

Jeddah, Makkah Province, Saudi Arabia Al Salama Hospital Full time $60,000 - $120,000 per year

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).

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