AI Operations Lead - Vice President / Senior Vice President

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025. iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). About the Role iCapital is looking to hire an Artificial Intelligence Operations Lead at iCapital. This individual will be responsible for establishing governance and scaling AI capabilities across the organization. Reporting to the Head of AI, this role ensures AI systems are deployed responsibly, monitored effectively, and deliver measurable business value. The role focuses on operationalizing and integrating AI solutions into business workflows, partnering with engineering, product, compliance, and finance to identify use cases, deploy solutions, manage AI vendors, and track performance, costs, and ROI. The ideal candidate will help implement responsible AI practices, operational controls, and monitoring frameworks, ensuring AI systems remain compliant, reliable, and aligned with business objectives while driving enterprise adoption of AI tools and automation. Responsibilities Oversee the deployment, monitoring, and lifecycle management of AI/ML systems in production, ensuring reliability, security, and scalability across sales, internal and external workflow, and operational platforms. Strong expertise in end-to-end AI program and project planning, including defining timelines, managing dependencies, mitigating risks, model approval framework and ensuring operational readiness for production deployment Design and optimize AI-powered workflows across the firm, enabling Agentic in areas such as fund onboarding, document processing, diligence workflows, client servicing, and internal knowledge management. Partner with the Sales, Distribution, Product, and Operations teams to identify high-value AI use cases across the private markets’ lifecycle. Define and operationalize governance frameworks for responsible AI use, ensuring alignment with business priority, regulatory expectations, model risk management, data privacy, monitoring and compliance requirements relevant to financial services. Establish monitoring and analytics for AI systems, tracking performance, usage, costs, and measurable business impact (i.e. efficiency gains, risk reduction, and revenue enablement). Act as the operational bridge between AI Engineering teams and business stakeholders, translating technical capabilities into scalable solutions that support investment professionals, advisors, and platform operations. Manage relationships with AI technology vendors and model providers (i.e. OpenAI, Anthropic, and Google), including evaluation, integration, roadmap alignment, field invention. Strong expertise in end-to-end AI program and project planning, including defining timelines, managing dependencies, mitigating risks, and ensuring operational readiness for production deployment. Qualifications 10+ years AI Operational experience 7+ years of experience in data science, machine learning or AI-related roles, with 4+ years leading cross-functional initiatives at scale Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and ... (truncated, view full listing at source)