The AI Leadership Practice for Private Equity
Artificial intelligence is reshaping how PE-backed companies compete. Yet most portfolio companies lack the leadership to orchestrate it. They need a Chief AI Officer, but they don’t know where to find one-or what to demand from the role.
That’s the problem the AI Leadership Practice solves.
We recruit AI leaders exclusively for PE sponsors, operating partners, and portfolio companies across Europe. We understand what PE-backed businesses actually need: not pure technologists chasing state-of-the-art, but pragmatic leaders who can embed AI commercially, fast, and within the constraints that define private equity ownership.
Why We Built This Practice
The gap is real. Generalist executive search firms-the global incumbents-don’t understand the PE context. They approach an AI leader search the same way they approach any C-suite hire. They miss the rhythm of PE: the 100-day mandate, the operating partnership expectation, the board-level governance, the integration with PE value creation.
Tech-focused recruiters go the other way. They hunt talent in research labs and mega-cap tech companies. They’re recruiting for Google. They’re not recruiting for a £75m revenue SaaS business owned by a growth capital fund.
We sit in the middle. We speak PE. We understand operating models, value drivers, and exit readiness. We also understand AI-what it can genuinely do for a business, what the talent landscape actually looks like, where the authentic leaders are. We combine those views to find people who can hit the ground running in a PE environment.
What We Search For
Our AI Leadership Practice runs mandates across the spectrum:
Chief AI Officer (CAIO), Board-level AI strategy and execution. Portfolio companies at scale, with the complexity and runway to justify the seniority. We search for leaders who can articulate strategy to PE sponsors and embed it into operating reality.
Head of AI, The operational lead, often reporting to the CEO or COO. Smaller portfolios, growth-stage businesses, or companies earlier in their AI journey. These leaders own delivery; they’re builders as much as strategists.
Chief Data Officer, The data infrastructure and governance backbone. Many PE businesses overlook this role until it becomes painful. We find CDOs who can set standards, manage compliance, and unlock data as a real asset.
VP of Data & AI, The bridge role. Technical credibility. Commercial sense. Often the first hire into an emerging AI function, with room to scale the team beneath them.
The Challenges We Solve
AI talent for PE is harder to source than the market assumes.
The resource constraint. Most AI talent clusters around mega-cap tech, deep-tech venture, and academia. PE portfolio companies can’t always compete on headline salary or brand alone. We source leaders motivated by operating impact, equity upside, and the opportunity to build something real in a less saturated environment.
The PE timescale. A traditional executive search takes 20+ weeks. PE runs on a different clock. We compress timelines to 10–16 weeks without sacrificing quality.
Commercial realism vs. technical purity. Many highly technical AI leaders are trained to optimise for model performance. PE businesses optimise for return on capital. We find leaders who can think both ways.
The integration challenge. AI leaders from Big Tech or AI-native companies often struggle with the operating constraints of portfolio companies: smaller teams, less data, legacy systems, competing IT priorities. We search for and validate executives who have worked in resource-constrained environments before.
How We Search
We don’t work from job boards or rely on inbound. We map the AI leadership landscape across Europe-who’s built AI in SaaS, who’s led data at scale in industrial tech, who’s been an AI leader in a growth business. We build relationships with emerging leaders, not just the obvious names.
We validate for PE-fit. That means stress-testing candidates on governance, stakeholder management, realistic timelines, and the ability to articulate value to non-technical board members.
We move fast. We present credible candidates within 6–8 weeks in most cases.
Who We Work With
PE sponsors and GPs running searches at portfolio company board level or setting the agenda for their operating partners.
Operating partners building the AI function alongside the CEO or managing a transition.
Portfolio company CEOs taking ownership of their AI capability and needing the right senior leader alongside them.
Start a Conversation
If you’re running an AI leadership search-or thinking about it-let’s talk. We’ll map the opportunity, challenge your brief if needed, and move at PE pace.
For deeper market intelligence, read our analysis: The Chief AI Officer Gap in European Private Equity
For details on our Chief AI Officer search process: Chief AI Officer Executive Search →