Job description:

AI Target Operating Model

• Design and maintain the Group-wide AI Target Operating Model, defining how AI use cases are identified, assessed, prioritized, built, deployed, monitored, and retired.
• Establish structured AI use case intake and prioritization processes to eliminate fragmented and ad-hoc initiatives across the Holding and Strategic Assets.
• Define lifecycle ownership, accountability, SLAs, and incident management frameworks across Holding and Strategic Assets.

Enterprise AI Governance Framework

• Develop and institutionalize a centralized AI Governance Framework including risk-tiered approval pathways, regulatory and compliance controls, data classification and privacy standards, model validation and monitoring requirements, and responsible AI and human-in-the-loop guidelines.
• Ensure alignment with enterprise risk, legal, compliance, and regulatory bodies across all entity types (bank, insurance, payments, e-commerce).
• Create fast-track governance paths for low-risk use cases while maintaining rigorous oversight for high-risk applications.

Governance Playbook & Standardization

• Build and maintain the AI Governance Playbook as the enterprise baseline for all AI initiatives.
• Create reusable templates, checklists, scoring models, and RACI structures for governance processes.
• Implement version control and structured evolution of governance frameworks based on lessons learned from live transformation use cases.

Cross-Entity Alignment

• Align business, technology, compliance, and risk stakeholders across Strategic Assets (PASHA Bank, PASHA Life, PASHA Insurance, Bir Ecosystem).
• Act as governance advisor for complex or high-risk AI deployments across the Group.
• Monitor adoption and maturity of governance standards across Strategic Assets and report on compliance consistency.
• Experience, Competencies and Skills Required:
• 8+ years of experience in transformation, governance, risk, or operating model design.
• Experience designing governance frameworks in regulated industries (financial services strongly preferred).
• Strong understanding of AI/ML capabilities, lifecycle risks, and model governance principles.
• Proven experience working across multiple business units or entities with different regulatory requirements.
• Exceptional stakeholder management and facilitation skills.
• Experience with technology/data governance frameworks, responsible AI principles, or AI risk management is a plus.

How to apply:

• Interested candidates can apply by clicking the link provided in the "Apply" button.

Attention: The candidates will go through initial CV screening review. Those candidates ONLY who succeeds based on CV screening will be contacted via email and/or phone and will be invited to interview