Director, PEPI - Technology Services CTO Domain

Director, Technology Services AI Team [CTO Domain]

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).

This role requires a practitioner who has operated inside or directly alongside engineering and product organizations—someone who has personally led SDLC transformations, managed engineering teams, governed AI coding tool rollouts, or run DevOps programs at scale—and who can translate that hands-on operating experience into rapid, credible impact within the compressed timelines of a PE holding period.

Engagement Leadership & Client Ownership

• Own the full engagement lifecycle: scoping, workplanning, team management, executive communications, and financial delivery against defined engineering performance targets
• Serve as primary point of contact for portfolio company CTOs, VPs of Engineering, and PE deal partners
• Lead cross-functional engagement teams spanning software engineering, product management, DevOps, platform engineering, and data/ML
• Drive executive-level workshops and steering committee presentations; translate engineering findings into financial narratives for PE audiences (R&D cost reduction, developer capacity uplift, time-to-market acceleration)

AI Strategy, Diligence & Value Creation

• Identify and prioritize AI use cases within the engineering and product organization mapped directly to EBITDA improvement, R&D cost reduction, and product growth
• Lead AI-focused diligence workstreams: assess engineering organization AI maturity, SDLC efficiency, AI tooling adoption, DevOps posture, technical debt, and developer productivity to size value potential
• Develop AI-native engineering operating models and SDLC transformation roadmaps with specific financial targets and DORA metric milestones
• Quantify the financial value of AI-enabled engineering productivity: cost per feature, developer capacity freed, cycle time reduction, and deployment frequency uplift

Transformation Execution & Governance

• Establish program governance, KPI frameworks, and value tracking tied to engineering metrics: DORA four key metrics, SPACE framework, AI tooling adoption rate, and engineering cost per feature
• Manage vendor relationships, AI tooling providers, and platform implementation partners across timelines, budgets, and execution risks
• Redesign core SDLC and DevOps processes to embed AI across the full engineering lifecycle: agentic code generation, automated PR review, AI-driven QA, intelligent deployment gates, and AI-augmented incident response
• Align engineering organizational structures and talent models to support AI-augmented development at scale

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 team methodology, tools, and accelerators for CTO domain engagements

Required Skills & Technology Fluency

Directors are expected to have led or governed implementations using the technologies below—not merely advised on them. Candidates should be able to speak to specific engineering programs they have run, financial outcomes they delivered, and technical decisions they owned.

Qualifications

• 8–12+ years in software engineering leadership, technical consulting, product development, or engineering transformation—with a meaningful portion in hands-on operator or senior practitioner roles, not exclusively advisory
• Demonstrated track record of leading complex, multi-workstream engineering transformation programs with measurable financial outcomes—R&D cost reductions, EBITDA improvements, or engineering productivity gains delivered and realized
• Tangible operating experience within or directly alongside engineering organizations: has personally managed engineering teams, governed SDLC programs, led DevOps transformations, rolled out AI coding tooling at scale, or owned technical delivery accountability—not just advised on them
• Experience working with private equity firms or PE-backed portfolio companies, particularly software or technology-enabled businesses, with understanding of deal timelines, value creation plans, and exit preparation
• Proven ability to manage senior client relationships at the CTO, CPO, or CEO level and translate engineering complexity into financial impact narratives

Education

• Undergraduate degree in computer science, software engineering, or a related technical field strongly preferred; MBA or advanced degree preferred
• Relevant certifications valued: AWS/Azure/GCP Developer or Solutions Architect Professional, GitHub Copilot for Business, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate, Google Professional MLOps Engineer

Preferred Background

• Experience at a top-tier consulting firm, software company, or PE-backed technology business with hands-on engineering delivery—or direct operator experience as VP Engineering, Head of Platform, or Engineering Director
• Track record of DORA metric uplift, AI coding tool rollouts at scale, SDLC modernization, or MLOps platform deployments with quantified financial outcomes
• Active coding capability in at least one modern language (Python, TypeScript, Go, or Java) with ability to review and pressure-test AI-generated code

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.