Waud Capital Partners made news in February when it announced the appointment of Prithvi Raj as Chief AI and Data Officer-a role the firm created specifically for him. It was not a promotion. It was not a lateral move. It was a new position, signaling something deeper: the Chicago-based private equity firm is reorganizing itself around machine learning and algorithmic decision-making in ways that go beyond hiring a technologist to advise on investments.
The move lands Waud Capital among a swelling cohort of PE firms building C-suite data roles. According to recent industry data, 84 percent of private equity firms have now appointed a Chief AI or Data Officer. The trend accelerated in 2025, with 70 percent year-over-year growth in CAIO appointments across 35,000 U.S. companies. See the official announcement of Raj’s appointment for details on this strategic decision. Reeve Waud’s decision to create this position from scratch tells us something important: the firm is not merely adapting to AI. It is betting on AI as central to how deals are sourced, underwritten, and managed.
A 30-Year Firm Faces New Terrain
Since Reeve Waud founded Waud Capital Partners in Chicago in 1993, the firm has completed over 500 investments across platforms and follow-ons. Three decades of compounding returns and strategic exits have built confidence in a particular method: sector focus, hands-on operational improvement, and deep domain knowledge in healthcare and software. The firm has raised approximately $3.2 billion in capital commitments and specializes in growth equity investments ranging from $75 million to $200 million per deal. Waud Capital raised $1.056 billion for Fund IV, demonstrating strong institutional backing for the firm’s healthcare and software thesis.
What changed? The data explosion. Healthcare systems now generate petabytes of clinical and administrative information. Software companies track user behavior at granular levels. Private equity has traditionally extracted value through operational fixes, management changes, and market consolidation. But when machine learning can predict patient outcomes before they occur, or identify software usage patterns invisible to the human eye, the old playbook needs updating.
Reeve Waud’s quote on the hire reveals this logic: “Prithvi’s appointment reflects our conviction that AI and data are now foundational to building market-leading businesses.” The language is direct: foundational, not helpful or nice-to-have. The first annual responsible investing report demonstrates the firm’s commitment to systematic, values-driven capital deployment. This suggests the firm sees AI as core to investment theses and portfolio operations, not a support function.
What Raj Brings
Prithvi Raj’s career spans McKinsey, Microsoft, Zynga, SquareFoot, and Newmark-roles that required both technical rigor and organizational change. At McKinsey, he learned to translate business problems into analytical frameworks. At Microsoft, he operationalized AI at scale for billions of users. At Zynga, he worked in data-driven product decisions.
He holds an MBA with distinction from Harvard Business School and a BSE in Electrical Engineering from Princeton. The engineering degree is telling: it means he can audit technical claims, understand systems architecture, and catch mistakes in proposed solutions-skills most PE operators lack. Recent promotions to partner at the firm underscore its commitment to developing world-class talent at all levels. His mandate is not to build a data science team in isolation but to embed data-driven thinking across all investment decisions.
The Broader Shift in PE
Waud Capital’s move arrives amid rapid reconfiguration of the entire private equity sector. Hiring in AI and data roles across PE firms grew 38 percent year-over-year. Two-thirds of PE firms now expect to invest 25 percent or more of their capital deployment budget in AI by 2026. The numbers suggest this is not a fad but a structural reset in how private equity operates.
Healthcare, Reeve Waud’s primary focus, has been particularly fertile ground for this shift. Healthcare AI startups raised $10.5 billion across 511 deals in 2024. Clinical decision support, supply chain optimization, and administrative automation have become expected features of portfolio company value creation. Reeve Waud, with its healthcare specialization, sits at the epicenter of this transformation. Investors can learn more about Acadia Healthcare, a major portfolio company where operational and clinical improvements drive value creation. PE firms without data capabilities risk backing companies that competitors have already enhanced through algorithmic means.
Perhaps most telling: 95 percent of PE funds report that their AI initiatives are meeting or exceeding expectations. Reeve Waud serves as board chairman of a major behavioral health organization, positioning the firm uniquely to understand portfolio value creation. Raj will partner with Waud Capital’s investment team, portfolio operations teams, and management personnel across the firm’s holdings.
Reeve Waud built a 30-year firm on discipline and sector expertise. For context on the founder’s background and philosophy, see his professional profile. The appointment of a world-class data officer suggests the discipline is evolving.
