Data & AI Platform Section Head

FNRCO; Jeddah; On-site; SAR 300,000 - 420,000; Full time

Job summary

FNRCO in Jeddah is seeking a Data & AI Platform Section Head to lead engineering, delivery, and operations of enterprise data and AI platforms, ensuring they are scalable, reliable, and secure in line with digital priorities.

You will drive the platform strategy, oversee provisioning and data flows, enable analytics and AI adoption, and report progress to the Enterprise Platform, Apps & Analytics Manager while mentoring teams.

Qualifications

• Minimum 6 years of experience in a related field or equivalent.
• Bachelor's degree in Engineering, Computer Science, IT or equivalent required.
• Preferred Certifications: DAMA CDMP, TOGAF, Agile/Scrum/SAFe, Cloud & Platform Certifications.
• Professional data & AI platform experience is essential.

Responsibilities

• Data & AI Platform Strategy & Roadmap Execution: translate strategies into engineering roadmaps.
• Platform Engineering & Operations Oversight: lead engineering, deployment, and operations for data and AI platforms.
• AI/Analytics Enablement & Adoption: enable analytics, AI, and reporting with high-quality data.
• Integration & Data Flow Management: ensure data integration and data flow across systems.
• Reporting & Continuous Improvement: provide updates on roadmap, risks, and modernization priorities.
• Policies, Processes and Procedures: ensure compliance and drive process improvements.
• People Management: mentor and coach subordinates and promote high performance.

Skills

Data platform strategy

Platform engineering

Analytics enablement

AI workloads

Data integration

Security & resilience

Roadmap execution

Education

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

DAMA CDMP Certification

TOGAF Certification

Agile/Scrum/PMI-ACP/SAFe Certification

Google Cloud Professional Cloud Architect

AWS Solutions Architect Professional

Databricks Data Engineer Certification

Job description

Saudi's Only

Data & AI Platform Section Head

Role Purpose

Lead the engineering, delivery, and operational management of enterprise data and AI platforms to enable analytics, AI, and enterprise reporting ,Ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities, while providing consistent reporting and updates to the Enterprise Platform, Apps & Analytics Manager.

Responsibilities:

Data & AI Platform Strategy & Roadmap Execution

• Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans.
• Ensure platforms support analytics, AI, and enterprise data needs in line with business and digital priorities.

Platform Engineering & Operations Oversight

• Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability.
• Oversee platform provisioning, monitoring, and optimization to enable business critical analytics and AI workloads.
• Ensure platforms meet enterprise standards for security, resilience, and performance.

AI/Analytics Enablement & Adoption

• Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data.
• Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption.
• Partner with analytics teams to optimize platform usage and measure adoption effectiveness.

Integration & Data Flow Management

• Ensure seamless integration of data across applications, platforms, and enterprise systems.
• Oversee API/middleware support for data ingestion, transformation, and distribution across systems.
• Maintain high data availability, integrity, and flow across the data & AI landscape.

Reporting & Continuous Improvement

• Provide regular updates to the Enterprise Platform, Apps & Analytics Manager on roadmap execution, risks, and modernization priorities.
• Apply enterprise standards and best practices for platform engineering, monitoring, and maintenance.
• Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness.
• Capture lessons learned, embed automation, and continuously improve data and AI platform maturity.

Policies, Processes and Procedures

• Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures
• Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement

People Management

• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing Company's values

QUALIFICATIONS / REQUIREMENTS

• Minimum 6 years of experience in a related field or equivalent is required.
• A bachelor's degree in Engineering, Computer Science, Information Technology (IT), or equivalent is required.
• Preferred Certifications: DAMA International - Certified Data Management Professional (CDMP), TOGAF for enterprise architecture alignment and Agile certifications such as Scrum Master, PMI-ACP, or SAFe , Cloud & Platform Certifications such as Google Cloud - Professional Cloud Architect, Amazon Web Services - Solutions Architect Professional, Databricks - Data Engineer
• Professional.