Head of AI Transformation & Governance (PASHA Financial Holding)

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.

Requirements

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.