AI Governance Architect: Frameworks & Compliance Lead

C5i

Riyadh

On-site

SAR 350,000 - 700,000

Full time

3 days ago
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Job summary

C5i is recruiting an AI Governance & Framework Lead to build and operationalize the bank's AI governance ecosystem in Saudi Arabia. You will design the comprehensive governance framework and drive cross-functional alignment to ensure regulatory compliance.

You will map out a clear RACI, define responsibilities across AI lifecycles, and establish risk-based controls for PDPL, SAMA, and SDAIA compliance, while embedding ethics and safety in model management.

Qualifications

  • Bachelor’s or Master’s degree in a relevant field.
  • 6+ years in Data/Gov/IT Digital Governance or Risk/Compliance with 2–3 years in AI Governance.
  • Experience with Saudi Banks/Financial Institutions.
  • Strong understanding of KSA regulatory ecosystem (SAMA, SDAIA, PDPL).

Responsibilities

  • Design and operationalize the bank's Enterprise AI Governance Framework with policies and risk-tiering.
  • Lead cross-functional stakeholder alignment meetings across Risk, Compliance, Legal, Cybersecurity, IT, and Business Units.
  • Map and finalize a RACI matrix for AI lifecycles (ideation to decommissioning).
  • Ensure framework designs align with Saudi regulatory directives (SAMA, SDAIA, PDPL).
  • Build a centralized AI tool inventory with risk-tiering rules.

Skills

Stakeholder management
Cross-functional collaboration
Facilitation skills
Regulatory knowledge
English fluency
Arabic proficiency
AI governance understanding

Education

Bachelor’s or Master’s Degree

Job description

C5i is recruiting an AI Governance & Framework Lead to build and operationalize the bank's AI governance ecosystem in Saudi Arabia. You will design the comprehensive governance framework and drive cross-functional alignment to ensure regulatory compliance.

You will map out a clear RACI, define responsibilities across AI lifecycles, and establish risk-based controls for PDPL, SAMA, and SDAIA compliance, while embedding ethics and safety in model management.

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