Director, AI-Driven Tech Services – CTO Domain

Alvarez & Marsal; New York (NY); On-site; USD 150,000 - 225,000; Full time

Job summary

Alvarez & Marsal is seeking a Director in the PEPI Technology Services AI team (CTO Domain) to independently lead AI‑driven value creation engagements across the private equity lifecycle. You will work with portfolio companies’ software engineering, product development, and DevOps teams, owning scope, client relationships, and end‑to‑end financial outcomes.

This role requires hands‑on operating experience within engineering organizations, with a track record of SDLC transformations, AI tooling

Qualifications

• 8–12+ years in software engineering leadership with hands‑on operator roles or senior practitioner experience.
• Proven track record of leading complex engineering transformation programs with measurable financial outcomes.
• Experience working with private equity firms or PE-backed portfolio companies and translating engineering complexity into financial impact.

Responsibilities

• Lead AI-enabled engagements for PE-backed portfolio companies, spanning CTO domain engagements and multi‑team execution.
• Shape AI governance, tooling adoption, and SDLC transformation roadmaps with clear financial targets.
• Manage client relationships with senior CTOrs, VPs of Engineering, and PE deal partners to drive measurable outcomes.

Skills

Engineering leadership

PE experience

Senior client relationships

Education

Bachelor's in Computer Science or related field

MBA or advanced degree preferred

Tools

AWS/Azure/GCP Dev or Solutions Architect

GitHub Copilot for Business

CKA - Kubernetes Administrator

HashiCorp Terraform Associate

Job description

Alvarez & Marsal is seeking a Director in the PEPI Technology Services AI team (CTO Domain) to independently lead AI‑driven value creation engagements across the private equity lifecycle. You will work with portfolio companies’ software engineering, product development, and DevOps teams, owning scope, client relationships, and end‑to‑end financial outcomes.

This role requires hands‑on operating experience within engineering organizations, with a track record of SDLC transformations, AI tooling