The Head of AI Transformation & Governance leads the development of PASHA Financial Holding’s AI transformation methodology — the playbooks, frameworks, governance structures, and change management approaches that enable Strategic Assets to adopt AI at scale.

Job description:

Reference Domain Transformation (Proof of Concept)

• Select and execute an end-to-end AI transformation of a reference business process (e.g., HR recruitment) within the PFH Corporate Center.
• Map the current process in detail, identify AI-replaceable steps, design the target state with AI agents, and manage the full implementation lifecycle.
• Navigate and overcome organizational resistance, process dependencies, stakeholder concerns, and change management challenges in real time.
• Work with the AI Platform & Engineering team to leverage PASHA Workbench, AI Gateway, and Marketplace capabilities in the reference transformation.
• Document every decision, obstacle, workaround, and lesson learned as raw material for the frameworks and playbooks.

Playbook & Framework Development

• Develop a comprehensive AI Transformation Playbook covering: process assessment and AI-readiness scoring, use case identification and prioritization methodology, agent design and process mapping templates, implementation lifecycle and milestone frameworks, risk identification and mitigation approaches, and success measurement and KPI definition.
• Create governance frameworks including: risk-tiered AI governance model (low/medium/high risk use cases with appropriate approval pathways), RACI matrices for AI lifecycle ownership, compliance and regulatory checklists by entity type (bank, insurance, payments, e-commerce), data classification and sensitivity handling guidelines, and human-in-the-loop requirements for high-risk decisions.
• Build change management toolkits including: stakeholder mapping and engagement templates, resistance anticipation and mitigation strategies, communication plans and training curricula, and success story documentation for internal advocacy.

AI Operating Model & Governance Design

• Design the Group-wide AI Target Operating Model defining how AI use cases are identified, assessed, approved, built, deployed, monitored, and retired.
• Establish a structured intake process for AI use cases with clear criteria for prioritization, preventing the current pattern of ad-hoc requests and duplicated effort.
• Define clear ownership and accountability structures for AI tools, risks, operations, SLAs, and incident response across the holding and SA levels.
• Create fast-track governance paths for low-risk use cases while maintaining rigorous oversight for high-risk applications.

SA Enablement & Knowledge Transfer

• Package all frameworks, playbooks, and governance templates into self-service enablement assets that SA teams can adopt independently.
• Conduct structured handover sessions with SA leadership and transformation teams, walking them through the methodology using real examples from the reference transformation.
• Define and track AI adoption benchmarks and KPIs across the Group, providing visibility into transformation progress at each SA.
• Establish feedback loops so that SA experiences refine and improve the central frameworks over time.

Cross-functional Coordination

• Work closely with Compliance, Risk, Legal, and Information Security to ensure governance frameworks satisfy regulatory requirements across all entity types.
• Coordinate with the People & Culture lead on AI literacy programs, training curricula, and cultural change initiatives.
• Provide process and governance requirements to the AI Platform & Engineering team to inform product design decisions.

Experience, Competencies and Skills Required:

Educational Background:

• Background in financial services, insurance, or fintech with direct experience navigating regulatory constraints (Central Bank of Azerbaijan, data protection, etc.).

Professional Competencies:

• Proven track record of leading end-to-end process transformation projects that involved significant organizational change and stakeholder management.
• Strong understanding of AI/ML capabilities and limitations, with ability to assess which processes are suitable for AI-driven transformation.
• Experience developing governance frameworks, operating models, or compliance structures in regulated industries (financial services strongly preferred).
• Demonstrated ability to codify complex methodologies into repeatable, self-service playbooks and frameworks that others can follow independently.
• Excellent facilitation, communication, and stakeholder management skills, with comfort navigating resistance and ambiguity.
• Experience working across multiple business units or entities with different regulatory and operational requirements
• Experience with AI governance frameworks, responsible AI principles, or AI risk management.
• Familiarity with agentic AI, process automation, and the practical challenges of replacing humandriven processes with AI agents.
• Management consulting background with experience in operating model design and large-scale change programs.
• Experience with structured use case intake, portfolio management, and value measurement for technology-driven transformation.

Relevant Experience:

• 8+ years of experience in business transformation, process redesign, management consulting, or operational excellence, with at least 3 years in a leadership role.

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 succeed based on CV screening will be contacted via email and/or phone and will be invited to interview.