Director, PEPI - Technology Services CIO Domain

Alvarez & Marsal

Boston, MA

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JOB DETAILS

SKILLS

Access Control, Accounting Close, Amazon Web Services (AWS), Ansible, Application Framework, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Programming Languages, Automation, Automation Systems, Billing, Budgeting, Business Administration, Business Case, Business Development, Business Intelligence, Business Strategy, CISM - Certified Information Security Manager, CISSP - Certified Information Systems Security Professional, Change Management, Cloud Architecture, Cloud Computing, Computer Science, Computer Security, Consulting, Cost Control, Cost Modeling, Cross-Functional, Customer Relations, Customer Relationship Management (CRM), Customer Support/Service, Data Lake, Data Management, Data Modeling, Data Quality, Debt Management, Demand Forecasting/Planning, Diversity, ERP (Enterprise Resource Planning), Embedded Systems, Enterprise Architecture, Entrepreneurship, Establish Priorities, Finance, Financial Operations, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Geography, Head of Finance, IBM Product Family, ISO (International Organization for Standardization), IT Service Management (ITSM), Identity Data Management, Incident Management, Informatica, Information Technology & Information Systems, Injections, Instrumentation, Internet Security, Knowledge Management, Leadership, Maintain Compliance, Make-Versus-Buy Analysis, Management of Information Systems/Technology (MIS), Manufacturing Data Management, Mentoring, Metadata, Metrics, Microsoft Access Database, Microsoft Dynamics, Microsoft Product Family, Microsoft Windows Azure, Operations Management, Operations Processes, Oracle, Oracle ERP, Oracle Fusion Middleware, Performance Management, Performance Metrics, Product Engineering, Product/Service Launch, Project/Program Management, Purchasing/Procurement, Quality Metrics, Reconciliation, Regulatory Compliance, Request for Proposals (RFP), Resolve Customer Issues, Risk, Risk Management, Risk Modeling, SAP, SAP ECC (fka SAP R/3 and SAP ERP), Sales Management, Security Analysis, Security Architecture, Security Information and Event Management (SIEM), Service Level Agreement (SLA), ServiceNow, Snowflake Schema, Splunk, Stewardship, Supplier Relationship Management (SRM), Supply Chain, System Integration (SI), Systems Engineering, Team Lead/Manager, Team Player, Technical Delivery, Technical Leadership, Technical Operations, U.S. National Institute of Standards and Technology (NIST), Use Cases, Vendor/Supplier Management, Vendor/Supplier Relations

LOCATION

Boston, MA

POSTED

Today

Description

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.

A&M's Private Equity Performance Improvement Services (PEPI) practice focuses on serving upper middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies ($50M-$1B+ revenue range).

Our PEPI services include:

IT / Product / Engineering [Technology Services]
CDD/Strategy
Interim Management
Merger Integration & Carve-outs
Rapid Results
Supply Chain
CFO Services

Technology Services - CIO Domain

The Technology Services team works directly with private equity firms and their portfolio companies to drive measurable value through applied AI. Within the CIO Domain, our engagements target the enterprise IT organization-infrastructure, systems of record, cybersecurity, and IT operations-helping portfolio companies embed AI to reduce cost, strengthen resilience, and accelerate IT-enabled business outcomes. Specific focus areas include:

AI-enabled IT operating model design and enterprise architecture modernization
AIOps and intelligent IT operations: predictive incident management, automated remediation, and self-healing infrastructure
AI governance frameworks: AI-powered capabilities, model standards and lifecycle oversight, and AI capabilities risk management
Data governance: metadata and data classification, lineage and quality standards, access controls, retention and regulatory compliance oversight
Cloud infrastructure readiness for AI workload deployment (Azure, AWS, GCP)
Cybersecurity and AI risk: embedding AI-era controls across identity, access management, threat detection, and security operations
AI-embedded enterprise systems: Experience leveraging AI-native capabilities within core systems of record (SAP, Oracle, Workday, ServiceNow), including embedded copilots, intelligent automation, predictive workflows, and vendor AI roadmap evaluation
Data platform & BI transformation: Track record leading large-scale data platform modernization - including cloud and modern data platform architecture spanning hyperscalers and data-lake environments, enterprise data governance, and business intelligence enablement - to support AI-ready, insight-driven decision-making at scale
Establishment of FinOps for cloud and AI/ML operation capabilities and processes. IT cost optimization through intelligent automation of service desk, IT operations, and infrastructure management
End-to-end transformation execution, governance, and value tracking tied to IT financial targets

We align AI initiatives with investment theses, financial targets, and operational realities to ensure durable impact.

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.

This role requires a practitioner who has operated inside or directly alongside CIO organizations-someone who has personally led IT transformations, managed vendors, governed AI deployments, or run enterprise technology programs-and who can translate that hands-on operating experience into rapid, credible impact within the compressed timelines of a PE holding period.

How You Will Contribute

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

Required Skills & Technology Fluency

Directors are expected to have 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 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 deflection rate, and SLA compliance
Navigate AI regulatory and compliance risk in enterprise IT contexts: GDPR/CCPA implications for AI data use, SOC 2 audit requirements for AI systems, and NIST AI RMF alignment

AIOps & Intelligent IT Operations

Deploy and tune AIOps platforms-Dynatrace, Datadog, Splunk ITSI, New Relic, IBM AIOps Insights, LogicMonitor-including alert correlation rules, anomaly detection thresholds, and automated remediation playbooks
Architect self-healing infrastructure pipelines: event-driven orchestration using ServiceNow ITOM, PagerDuty, xMatters, or equivalent-from anomaly detection through root cause analysis to auto-remediation
Configure and govern CMDB in ServiceNow or BMC Helix: CI relationships, dependency mapping, and service maps that underpin AIOps accuracy
Implement AI-enhanced service desk capabilities: conversational AI agents (ServiceNow Now Assist, Microsoft Copilot Studio), intelligent ticket classification and routing, and self-service deflection measurement
Deploy log intelligence and observability stacks: Splunk SPL for ML-based alerting, Elastic/ELK with anomaly detection, OpenTelemetry instrumentation standards, and distributed tracing across hybrid environments
Define and track IT operations metrics: MTTR, MTTD, change success rate, incident volume trends, and cost per ticket-with AI uplift quantified against baseline

Cloud Infrastructure & AI Workload Readiness

Architect cloud environments for AI workload deployment: GPU/TPU compute provisioning on Azure (ND-series, NC-series), AWS (P-series, Inf), and GCP (A100/H100 instances); cost governance for AI compute spend
Design and govern cloud landing zones and AI-ready infrastructure patterns: Azure AI Foundry, AWS SageMaker, Google Vertex AI-including network segmentation, private endpoints, and data residency controls
Implement and govern Infrastructure as Code at scale: Terraform modules, Ansible playbooks, Azure Bicep templates-with AI-assisted IaC generation and validation pipelines
Lead hybrid and multi-cloud architecture decisions: workload placement strategy, cloud cost optimization (FinOps), and AI platform consolidation within PE holding period capital constraints
Govern identity and access for AI systems: Microsoft Entra ID (Azure AD) conditional access policies, Okta workforce identity, CyberArk PAM for service account management, and zero-trust architecture for AI workloads

ERP & Systems of Record Transformation

Lead AI-augmentation programs on major ERP platforms: SAP S/4HANA with SAP Joule (AI copilot for finance, procurement, supply chain), Oracle Cloud ERP/HCM with Oracle Fusion AI, Workday Finance and HCM with Workday AI, Microsoft Dynamics 365 Copilot
Scope and govern ERP AI use cases within PE holding period constraints: automated journal entry creation, AI-assisted reconciliation, intelligent vendor invoice processing, predictive demand planning, and Copilot-driven financial close acceleration
Design and oversee data integration architectures connecting ERP systems to AI platforms: MuleSoft Anypoint, Azure Data Factory, Boomi, or equivalent-including data quality frameworks that gate AI model reliability
Assess and manage technical debt within ERP landscapes: identify customizations that block AI-native feature adoption and build remediation roadmaps tied to EBITDA targets
Lead master data governance initiatives required for AI accuracy: MDM platform selection (Informatica, Stibo, SAP MDG), data stewardship models, and golden record management

Cybersecurity & AI Risk Management

Design AI-era security architectures: zero-trust network access (ZTNA), microsegmentation, AI-augmented SIEM/SOAR platforms (Microsoft Sentinel, Splunk SOAR, Palo Alto XSIAM), and extended detection and response (XDR)
Govern AI-specific security risks: prompt injection controls, model access governance, training data poisoning prevention, and AI output monitoring for data exfiltration
Implement and assess against security frameworks: NIST CSF 2.0, CIS Controls v8, ISO 27001, SOC 2 Type II-with explicit mapping to AI system requirements
Lead identity security programs: privileged access management (CyberArk, BeyondTrust), identity governance and administration (SailPoint, Saviynt), and AI-assisted access certification
Oversee third-party and supply chain AI risk: vendor AI security assessments, AI model provenance, and contractual AI data usage controls

AI & Automation Platform Development

Architect and govern enterprise LLM deployments: Azure OpenAI Service, AWS Bedrock, Google Vertex AI-including prompt governance, retrieval-augmented generation (RAG) pipelines, model versioning, and cost controls
Design agentic AI workflows for IT automation: multi-agent orchestration (AutoGen, LangGraph, CrewAI) applied to ITSM, infrastructure management, and security operations use cases
Implement and govern low-code/no-code AI automation platforms: Microsoft Power Platform (Power Automate, Copilot Studio), ServiceNow Agentic AI, UiPath Autopilot, or equivalent-including governance guardrails, approval workflows, and audit trails
Evaluate and select AI data platforms: Snowflake Cortex AI, Databricks Mosaic AI, Microsoft Fabric-and architect data pipelines that feed AI models with governed, high-quality enterprise data
Build and govern LLM application frameworks for CIO domain use cases: LangChain, LlamaIndex-applied to knowledge management, IT runbook automation, and enterprise Q&A systems

Qualifications

8-12+ years in IT strategy, enterprise architecture, IT operations, or technology transformation-with a meaningful portion in hands-on operator or senior practitioner roles, not exclusively advisory
Demonstrated track record of leading complex, multi-workstream IT transformation programs with measurable financial outcomes-cost reductions, EBITDA improvements, or working capital savings delivered and realized
Tangible operating experience within or directly alongside CIO organizations: has personally managed IT programs, governed enterprise technology platforms, led vendor relationships, or run IT operations at a company-not just advised on them
Experience working with private equity firms or PE-backed portfolio companies, with understanding of deal timelines, value creation plans, and exit preparation
Proven ability to manage senior client relationships at the CIO, CFO, or CEO level and translate IT complexity into financial impact narratives

Education

Undergraduate degree in computer science, information systems, engineering, or a related technical field strongly preferred; MBA or advanced degree preferred
Relevant certifications valued: Azure Solutions Architect Expert, AWS Solutions Architect Professional, Google Professional Cloud Architect, CISSP, CISM, ITIL 4 Managing Professional, ServiceNow Certified Implementation Specialist, SAP Certified Associate

Preferred Background

Experience at a top-tier consulting firm, systems integrator, or managed service provider with a CIO/IT transformation focus
Operator experience: prior role as VP of IT, Director of IT, IT Program Director, or equivalent inside a PE-backed or mid-market company
Track record of AIOps deployments, ERP modernizations, IT cost takeout programs, or cybersecurity transformation with quantified PE-relevant outcomes

Compensation: $150,000 - $225,000 base salary annually, dependent on education, experience, skills, and geography, plus a discretionary bonus program based on individual and firm performance. Please ask your recruiter for details.

Your Journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M.

Benefits Summary

Regular employees working 30 or more hours per week are entitled to participate in Alvarez & Marsal Holdings' fringe benefits: healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages, a 401(k) retirement savings plan with discretionary employer contribution, paid vacation, personal days, 72 hours sick time, 10 federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.

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About the Company

Alvarez & Marsal

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Director, PEPI - Technology Services CIO Domain

Alvarez & Marsal

Boston, MA

About the Company

Alvarez & Marsal

Resume Resources

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