VP - Cobrand Product Strategy & AI Enablement

Join the largest U.S. Cobrand credit card business, where we redefine the future of card, payment, and lifestyle customer experiences through strategic partnerships with some of the world’s most renowned companies, including United Airlines, Marriott International, Southwest Airlines, Amazon, and DoorDash. At Chase, we are committed to innovation and excellence, leveraging our unparalleled scale and expertise to deliver best-in-class products and services. Be part of a transformative journey with Chase Partner Business, where your strategic vision and leadership will contribute to the continued success and growth of an industry-leading enterprise. As the VP, Cobrand Product Strategy & AI Enablement, you will help teams rethink how work gets done through the practical application of AI and automation. You will deeply understand current processes, identify and prioritize high-value opportunities, and translate business needs into clear recommendations for what should be built. You will also help advance an AI-enabled product development lifecycle by scaling new ways of working, tools, and AI skills across teams. This role requires exceptional structured thinking, communication, and relationship-building skills, along with the technical aptitude, adaptability, and resourcefulness to move quickly from ambiguous problems to practical solutions. Job responsibilities: Strategy and Opportunity Prioritization: Partner with Product, General Manager, and product operations / support teams to understand current workflows, pain points, dependencies, and sources of manual effort. Identify and prioritize opportunities where AI, automation, or process changes can meaningfully improve speed, quality, capacity, or decision-making. Solution Definition and Execution: Translate business needs into clear use cases, requirements, and recommendations that builders and technical teams can act on. Partner with builders, engineers, and others to determine the right solution path and support work from initial concept through testing and implementation. AI-Enabled Product Development: Help scale AI-enabled ways of working across the product development lifecycle, including the tools, skills, workflows, and supporting practices that enable them. Explore and evaluate emerging AI tools and capabilities, identify where they can create practical value, and manage efforts to test, adopt, and scale efficiently. Executive Communication and Stakeholder Leadership: Develop clear, compelling presentations that simplify complex processes, communicate recommendations, and articulate business value. Build strong cross-functional relationships, facilitate decision-making, and communicate effectively with both business and technical audiences. Prioritization and Agility: Manage multiple fast-moving workstreams and adapt quickly as business needs, leadership priorities, and AI capabilities evolve. Support emerging strategic priorities and special projects as needed, bringing structure to ambiguous questions and quickly identifying the right people, information, and resources. Required qualifications, capabilities, and skills : 7+ years of work experience in management consulting and/or strategy/operations roles. Exceptional structured thinking and problem-solving skills, with the ability to quickly understand unfamiliar processes and simplify complex topics. Strong written and verbal communication skills, including demonstrated ability to build executive-ready presentations and tell a clear story through slides. Demonstrated ability to build relationships, influence across teams, and move ambiguous work from problem definition to execution. Strong prioritization and multitasking skills, with the ability to operate effectively in a fast-changing environment. Working knowledge of AI, automation, digital products, or emerging technology. BA or BS in a relevant field. Preferred qualifications, capabilities, and skills : Experience identifying or delivering practical AI and automation use cases, ideally in a lean environment. Hands-on experience using generative AI tools to conduct analysis, improve workflows, develop prototypes, or increase productivity. Familiarity with product development and the software development lifecycle. Experience translating business needs into product requirements or solution recommendations. Resourceful, low-ego, and action-oriented, with the ability to quickly identify the right people, tools, and information. Sound judgment about where AI can create real value, without relying on hype, jargon, or technology-first thinking.