About Pagaya Shape the Future of Finance Pagaya is building a leading artificial intelligence network to help our partners grow their businesses and better serve their customers. Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors.

Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. com .

Let's create better outcomes together!

About The Role

We are seeking a AI Transformation Operations Lead to drive process re-design, automation, and scaling of Artificial Intelligence across our Corporate Finance organization. This position sits at the intersection of Finance, Data, and Operations, acting as a hands-on partner to our global finance teams (including FP A, Treasury, Accounting, and Finance Operations) to analyze current workflows, identify high-impact automation opportunities, and aggressively embed AI tools into our daily operations. The core mission is to modernize and streamline our financial workflows for maximum speed, accuracy, and scalability.

A primary focus will be establishing a reusable Finance Knowledge Infrastructure—capturing processes, decision logic, and data flows in a structured way that eliminates tribal knowledge and enables robust AI augmentation. The ideal candidate brings a blend of corporate finance acumen, strong project management skills, and a passion for AI-driven business transformation.

Responsibilities

: 1. Finance AI Automation Transformation Partner closely with FP A, Treasury, Accounting, and Finance Operations teams to map end-to-end workflows, diagnose operational bottlenecks, and identify pain points. Translate complex financial challenges into scalable AI and data solutions, moving initiatives smoothly from concept to production.

Ensure solutions are deeply embedded into day-to-day workflows, prioritizing comprehensive, end-to-end operational improvements over standalone tools. 2. Finance Knowledge Infrastructure Process Engineering Build and maintain a structured finance knowledge library capturing process documentation, business rules, reporting definitions, and reusable analytical templates.

Enable AI systems and human teams to access consistent, high-quality institutional knowledge, reducing reliance on fragmented documentation. Continuously recommend and roll out structural improvements to maximize efficiency, data quality, and compliance controls. 3.

Opportunity Discovery, Prioritization ROI Tracking Conduct structured "AI opportunity audits" across finance functions, maintaining a clear, evolving transformation roadmap. Evaluate and prioritize initiatives through an investment-led framework, quantifying impact across time savings, cost reduction, risk mitigation, and decision speed. Own the delivery of 5–10 high-value AI and automation initiatives annually, tracking and reporting realized value to executive leadership.

4. Cross-Functional Collaboration Tech Alignment Be a part of a global team of AI specialists within the organization and partner closely with Engineering, Data Science, and IT teams to design, test, and deploy AI-driven workflows and technical toolings customized for finance. Evaluate and optimize the usage of the core technology stack, ensuring clear integration between standard enterprise software and next-gen productivity tools.

S. and international offices) to ensure seamless operational alignment across time zones and leadership priorities. 5.

AI Transformation & Operations, Finance