Vice President Product Manager - AI & Machine Learning Team

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Global Investment Banking Digital team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and improve top-tier client experiences. With a good commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. Join the Global Investment Bank Digital, the AI-driven digital innovation hub covering Equity Capital Markets, Debt Capital Markets, and Mergers and Acquisitions. We’re seeking a Product/Project Manager reporting into the Artificial Intelligence and Machine Learning team, to coordinate the deployment, adoption, and optimization of our AI solutions across the bank to transform how investment bankers operate. As a Product Manager you will be part of a fast-moving, high-impact team that collaborates across technical, business, and compliance functions to create cutting‑edge AI tools for investment banking. You’ll play a pivotal role in improving our AI models deliver measurable value while meeting regulatory and user requirements. Job responsibilities Develop a product strategy and product vision that delivers value to customers. Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap. Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition. Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability. Coordinate between bankers, technical teams, Artificial Intelligence/Machine Learning engineers, and business development teams to align priorities and improve effective communication. Act as a bridge between technical outputs and banker requirements, improving solutions meet business needs. Gather feedback from bankers and other end-users to refine AI model outputs, improving they are actionable and user-friendly. Track the progress of multiple AI models from ideation to deployment using tools like Kanban boards to maintain visibility and improve on-time delivery. Work with the Data Usage Council and Model Risk Governance boards to navigate internal compliance and approval processes for AI models. Recommend that all outputs adhere to regulatory and internal standards. Interpret and refine AI model outputs to deliver insights in consumable formats for bankers. Proactively identify opportunities for improvement in model functionality or user experience. Develop a cohesive team structure to streamline coordination across projects and functions. Implement robust tracking and observability tools to monitor project performance and resource allocation. Maintain alignment across technical, compliance, and business development teams to deliver impactful solutions. Facilitate training and onboarding sessions for end-users to maximize adoption of AI tools. Identify gaps or new opportunities in existing workflows where Artificial Intelligence/Machine Learning solutions could drive additional value. Collaborate with the Artificial Intelligence and Machine Learning team to explore innovative use cases for AI in investment banking. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area. Advanced knowledge of the product development life cycle, design, and data analytics. Demonstrateability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management. Demonstrate experience in Product management, project management, or operations within technology or financial services. Proficiency with project tracking tools (e.g., Jira, Trello, or Kanban boards). Excellent organizational and multitasking abilities, capable of managing multiple projects and stakeholders simultaneously. Clear and concise communication skills, with the ability to translate technical outputs into actionable insights for non-technical users. Good problem‑solving skills and adaptability in a fast‑paced environment. Collaborative mindset, with a passion for building connections and driving alignment across diverse teams. Preferred qualifications, capabilities, and skills Demonstrated prior experience working in a highly matrixed, complex organization. Familiarity with Artificial Intelligence/Machine Learning concepts and their application in business settings. Familiarity with data analytics tools and processes is a plus, though not mandatory. Experience working in or alongside investment banking teams is a good advantage. #J-18808-Ljbffr JPMorgan Chase & Co.