Associate Vice President, AI Solutions and Finance Strategy Lead

Summary The Associate Vice President serves as the finance-side leader for artificial intelligence, reporting, and strategy within the Finance Process & Operations (FPO) team. This is the business counterpart to Carlyle’s Corporate Services AI engineering function: where engineering builds the firm’s next generation of AI-native products, this role owns the finance strategy behind them - identifying the highest-leverage opportunities, translating ambiguous business problems into scoped solutions, orchestrating delivery in partnership with engineering, and owning adoption and realized value across finance. The AVP sets the AI vision and roadmap for FPO’s finance functions, picking the spots where AI and automation deliver the biggest payoff and focusing the firm’s investment on a few high-impact workflows. The role pairs this strategic mandate with a build-and-ship orientation, leading a small, agile team that forms quickly around high-priority finance challenges and delivers solutions at speed. Carlyle is investing aggressively in the talent, tooling, and platforms required to win here, and this role is at the center of that investment. Success requires the judgment to prioritize ruthlessly, the credibility to partner with senior finance and technology leaders, and intellectual honesty about what AI can and cannot reliably do today. The AVP leads and develops a team, governs how finance AI is built and used, and communicates strategy and progress at the highest levels of the firm. In-Office Requirement: 4 days a week Primary Responsibilities AI Strategy & Opportunity Leadership (~25%) Own the AI vision, strategy, and roadmap for the FPO finance functions, picking the spots where AI and automation deliver the biggest payoff and sequencing investment accordingly Maintain a prioritized portfolio of AI use cases across finance, scoring opportunities on value, feasibility, and effort to focus the firm’s enterprise muscle on a few high-impact workflows Go narrow and deep on priority workflows, rethinking how the work is done with an AI-first lens rather than bolting AI onto existing steps Define a small set of outcome metrics leadership tracks - such as cycle-time, accuracy, exception volume, and throughput - and tie every AI initiative back to measurable business value Continuously scan the AI landscape - models, agentic frameworks, and tools - and bring promising, matured capabilities into finance practice Finance Strategic Partner & Translation (~20%) Act as a trusted AI advisor to finance leadership and function heads, reimagining workflows alongside the people who run them Embed with finance stakeholders to identify, scope, and frame the highest-leverage AI opportunities, translating ambiguous business problems into clear, well-structured solution requirements Serve as the bridge between finance end-users and the Corporate Services AI engineering team, ensuring what gets built is what teams will actually use Maintain executive presence - ask the right questions, push back when needed, and earn trust at senior levels of the firm Champion intellectual honesty about AI: what current models can and cannot reliably do, and where AI is the right tool versus traditional automation or process redesign Solution Orchestration & Delivery (~20%) Orchestrate AI solution delivery end to end - discovery, requirements, design, build with engineering, testing, deployment, adoption, and iteration Establish reusable building blocks for finance AI - use-case assessment frameworks, prompt and agent patterns, evaluation criteria, and adoption playbooks - so each new solution starts further ahead than the last Run agile delivery for the team’s portfolio, balancing rapid tactical wins against the strategic roadmap Partner with GTS/AI engineering, data, and security teams so solutions deploy cleanly and meet enterprise standards for controls, observability, and audit Drive adoption and change management - training, communication,