Head of AI Transformation & Governance (PASHA Financial Holding)
Tam Ştat
Menecer
Razılaşma yolu ilə
Yerləşdirilib 9 mart 2026
Son Tarix: 9 aprel 2026
Təsvir
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.
Necə Müraciət Etmək Olar
PASHA Holding
Vakansiya Təfərrüatları
Vakansiya ID
#10786
İş Növü
Tam Ştat
Təcrübə Səviyyəsi
Menecer