Data & AI Platform Leader

Saudi Air Navigation Services; Jeddah; On-site; SAR 200,000 - 360,000; Full time

Job summary

Saudi Air Navigation Services is seeking a senior leader to drive the engineering, delivery, and operational management of its data and AI platforms. You will ensure scalable, reliable and secure platforms aligned with enterprise digital priorities and provide regular updates to the Enterprise Platform, Apps & Analytics Manager.

You will lead roadmaps, oversee platform provisioning, and enable analytics and AI workloads while maintaining high data availability and security across systems.

Qualifications

• Minimum 6 years of experience in data/IT related field.
• Bachelors degree in Engineering, CS, IT or equivalent required.
• Preferred certifications: CDMP, TOGAF, Agile, cloud platform certs.

Responsibilities

• Lead data and AI platform strategy, roadmaps and enablement plans.
• Oversee engineering, deployment, and operational support for platforms.
• Ensure security, resilience, and enterprise standards compliance.
• Enable analytics, AI, and reporting capabilities for the business.
• Manage data integration across enterprise applications and systems.
• Provide guidance and mentoring to subordinates; drive continuous improvement.

Skills

Leadership

Data platform management

Analytics enablement

Education

Bachelor's degree in Engineering, Computer Science, IT or equivalent

DAMA CDMP; TOGAF; Agile; Cloud platforms (GCP/AWS) certifications

Tools

Google Cloud - Professional Cloud Architect

Amazon Web Services - Solutions Architect Professional

Databricks - Data Engineer

Job description

Saudi Air Navigation Services is seeking a senior leader to drive the engineering, delivery, and operational management of its data and AI platforms. You will ensure scalable, reliable and secure platforms aligned with enterprise digital priorities and provide regular updates to the Enterprise Platform, Apps & Analytics Manager.

You will lead roadmaps, oversee platform provisioning, and enable analytics and AI workloads while maintaining high data availability and security across systems.