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Director, PEPI - Technology Services CIO Domain

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Alvarez & Marsal
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    IT Business Analyst, Cybersecurity, IT Project Manager, IT Consultant
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results‑oriented professionals in over 40 countries. We take a hands‑on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

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.

How You Will Contribute Engagement Leadership & Client Ownership
  • Establish and champion the full engagement lifecycle: develop and roll‑out playbooks for scoping, work planning, 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 work streams: 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
Required Skills & Technology Fluency Enterprise‑wide and Organizational IT AI Strategy & Governance
  • Design and operationalize enterprise Data and AI governance frameworks: AI powered capabilities and model risk policies, AI acceptable use standards, data lineage and usage controls, and model lifecycle management from deployment through decommission
  • Define and implement AI Center of Excellence (CoE) structures within IT organizations: staffing models, operating procedures, intake processes, and build‑vs‑buy evaluation frameworks
  • Conduct AI readiness assessments across IT domains—data quality, infrastructure elasticity, security posture, and organizational change capacity—and translate findings into investment‑grade business cases
  • Establish KPIs and value tracking mechanisms for AI initiatives tied directly to EBITDA levers: IT cost per user, automation rate, mean time to resolve (MTTR), incident…
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