Director, PEPI — Data, Cloud & AI Architecture

Private Equity Performance Improvement (PEPI) Technology, 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.

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).

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

A&M's PEPI Technology group advises private equity investors and their portfolio companies on the technology decisions that move enterprise value. This role covers data and cloud architecture, including AI and ML readiness and risk. Depending on the engagement, you'll own that workstream inside a broader technology assessment, or run a focused data, cloud, and AI engagement day to day under a Senior Director or Managing Director.

Data, cloud-based technology systems, and the risks and opportunities of AI are making this part of our practice grow quickly. The work is hands-on, diagnostic and on compressed timelines. We value operational experience highly. You will have significant exposure to the Private Equity industry, smart and accomplished colleagues across the company, and a nearly limitless variety of technical systems.

• Own the data, cloud, and AI architecture workstream — Define data requests, review architecture and infrastructure artifacts, and reach a supportable view inside a business transaction timeline. On focused engagements, you will run the work day-to-day: direct the team, manage the client working relationship, align with other practice areas in the firm, and deliver the final product.

• Assess the architecture to determine if these technical systems support the business strategy and investment thesis, its costs and any risks. This includes scalability, extensibility, stability, technical debt, security posture, run-rate cost and its trajectory.

• Evaluate data quality and AI readiness — Determine what data exists, how it is governed, whether it represents business and/or financial opportunity, and the overall use of AI within client technology organizations and their products.

• Translate findings into financial and strategic terms — Translate findings and your point of view into terms non-technologists can understand, especially financial terms such as EBITDA impact, capex versus opex, time to value, and execution risk.

• Shape the analytical standard — A&M has deep experience codifying how engagements run. This role will help shape how those playbooks are adapted for this rapidly emerging area of client interest. Once defined, it runs as a productized offering with deliberately limited flex.

• Work closely with A&M colleagues — Be a constructive partner with colleagues across the Technology Services organization and many performance improvement teams. You will help evangelize how this type of analysis answers critical questions and be a trusted steward of shared client relationships. A hands-on colleague from pitch through final delivery.

• 10+…