AI and Data Management Specialist

مستشفى السلامة; Jeddah; On-site; SAR 150,000 - 200,000; Full time

Job summary

A healthcare facility in Jeddah is seeking a specialist to lead AI system development, manage data platforms, and ensure data governance. The role requires 5 years of experience in AI and healthcare data management, along with a Bachelor's degree in relevant fields. Candidates should possess strong technical skills in AI/ML, data standards, and compliance. This position offers an opportunity to drive digital transformation and enhance patient care.

Qualifications

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

Responsibilities

• Develop and deploy AI/ML models for diagnostics and predictive care.
• Establish data pipelines and ensure quality compliance.
• Design AI and data platforms for clinical systems.
• Implement security controls and conduct audits.
• Evaluate emerging AI technologies and lead innovation.

Skills

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)

Cloud platforms (Azure, AWS, GCP)

Education

Bachelor’s degree in Computer Science, Data Science, AI, or related fields

Master’s degree in Data Analytics, Health Informatics, or AI

Job description

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).