Director, AI‑Driven Tech Services (CTO Domain)

Alvarez & Marsal

Charlotte (NC)

On-site

USD 150,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Healthcare plans
401(k) plan
Paid vacation and holidays

Job summary

Alvarez & Marsal seeks a Director in the PEPI Technology Services AI team (CTO Domain) to independently lead AI‑driven value creation engagements across the PE lifecycle. You will focus on software engineering, product development, and technical delivery within portfolio companies, owning scope, workplans, client relationships, and financial outcomes end‑to‑end.

This role requires hands‑on operating experience in engineering or product organizations—ability to govern SDLC transformations, AI

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

Responsibilities

  • 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)
  • 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
  • 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
  • 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
  • Demonstrate direct experience with AI governance, coding tools, and enterprise SDLC modernization

Skills

Engineering leadership
AI strategy
DevOps governance
MLOps
Financial storytelling

Education

Undergraduate degree in computer science or related field
MBA or advanced degree preferred

Tools

GitHub Copilot for Business
Backstage
CI/CD pipelines

Job description

Alvarez & Marsal seeks a Director in the PEPI Technology Services AI team (CTO Domain) to independently lead AI‑driven value creation engagements across the PE lifecycle. You will focus on software engineering, product development, and technical delivery within portfolio companies, owning scope, workplans, client relationships, and financial outcomes end‑to‑end.

This role requires hands‑on operating experience in engineering or product organizations—ability to govern SDLC transformations, AI

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