Director, PEPI - Technology Services CIO Domain

Role Overview

As a Director in the PEPI Technology Services AI team [CIO Domain], you will independently lead AI-driven value creation engagements across the private equity lifecycle, with a specific focus on the CIO organization of PE-backed portfolio companies. You own scope, workplan, client relationships, and financial outcomes end-to-end. You are the senior accountable leader on the engagement.

Required Skills & Technology Fluency

• Demonstrated experience of successfully navigating, rolling out and governing implementations using the technologies below, not merely advised on them.
• Candidates should be able to speak to specific programs they have run, financial outcomes they delivered, and technical decisions they owned.
• Enterprise-wide and Organizational IT
• AIOps & Intelligent IT Operations
• Cloud Infrastructure & AI Workload Readiness
• ERP & Systems of Record Transformation
• Cybersecurity & AI Risk Management
• AI & Automation Platform Development

Engagement Leadership & Client Ownership

• Establish and champion the full engagement lifecycle: develop and roll-out playbooks for scoping, workplanning, team management, executive communications, and financial delivery against defined and productized AI targets.
• Serve as primary point of contact for portfolio company CIOs, IT leadership teams, and PE deal partners—building trusted advisor relationships that extend across the holding period.
• Lead cross-functional engagement teams spanning enterprise architecture, infrastructure, security, data, and IT operations.
• Drive executive-level workshops and steering committee presentations; translate complex IT findings into clear financial and operational narratives for PE audiences.

AI Strategy, Diligence & Value Creation

• Identify and prioritize AI use cases within the CIO domain mapped directly to EBITDA improvement, IT cost reduction, and risk mitigation.
• Lead AI-focused diligence workstreams: assess IT infrastructure maturity, data estate readiness, AI governance capabilities, cybersecurity posture, and ERP landscape to size value potential.
• Develop AI-enabled IT operating models and transformation roadmaps with specific financial targets, milestones, and accountability structures.
• Assess platform-native AI capabilities within ERP and ITSM systems and design adoption roadmaps within PE holding period constraints.

Transformation Execution & Governance

• Establish program governance, KPI frameworks, and value tracking tied to IT metrics: MTTR, SLA compliance, automation rate, incident deflection rate, and IT cost per user.
• Manage vendor relationships, managed service providers, and implementation partners across timelines, budgets, and execution risks.
• Redesign core IT processes to embed AI into operations: AIOps-driven incident triage, AI-assisted change management, automated compliance monitoring, and self-service IT portals.
• Align IT organizational structures and talent models to support AI-augmented operations.

Practice Contribution

• Support business development: contribute to proposals, respond to PE firm RFPs, and participate in client pitches.
• Mentor Senior Associates and Analysts; contribute to A&M's Technology Services methodology, tools, and accelerators for CIO domain engagements.