Chase is seeking a Strategic Product Manager to lead the development of context-layer capabilities for AI/ML data and analytics within the Consumer & Community Banking Data & Analytics organization. The role focuses on creating and managing shared business context across the enterprise, enabling data, knowledge, controls, and business meaning to be consumed consistently by analytics, AI, and agentic solutions. You will partner with ontology, semantic engineering, data, governance, and technology teams to deliver scalable, governed, and trusted products that improve interoperability and accelerate AI adoption. Responsibilities include: - Develop and execute product strategies and roadmaps for context-layer capabilities supporting AI, analytics, and enterprise data initiatives. - Partner with ontology, semantic engineering, data, and technology teams to define requirements and deliver context products for agent-ready experiences. - Own and prioritize product backlogs balancing customer needs, business objectives, technology feasibility, and regulatory requirements. - Drive adoption of enterprise ontologies, semantic models, and taxonomies across business domains. - Define and deliver context engineering tools, APIs, and reusable capabilities that accelerate AI and agent deployment across the organization. - Establish product success metrics and monitor outcomes related to adoption, semantic quality, operational efficiency, controls effectiveness, and business impact. - Collaborate with Risk, Compliance, Legal, Controls, and Data Governance to ensure products operate within ap

Chase is seeking a Strategic Product Manager to lead the development of context-layer capabilities for AI/ML data and analytics within the Consumer & Community Banking Data & Analytics organization. The role focuses on creating and managing shared business context across the enterprise, enabling data, knowledge, controls, and business meaning to be consumed consistently by analytics, AI, and agentic solutions. You will partner with ontology, semantic engineering, data, governance, and technology teams to deliver scalable, governed, and trusted products that improve interoperability and accelerate AI adoption. Responsibilities include: - Develop and execute product strategies and roadmaps for context-layer capabilities supporting AI, analytics, and enterprise data initiatives. - Partner with ontology, semantic engineering, data, and technology teams to define requirements and deliver context products for agent-ready experiences. - Own and prioritize product backlogs balancing customer needs, business objectives, technology feasibility, and regulatory requirements. - Drive adoption of enterprise ontologies, semantic models, and taxonomies across business domains. - Define and deliver context engineering tools, APIs, and reusable capabilities that accelerate AI and agent deployment across the organization. - Establish product success metrics and monitor outcomes related to adoption, semantic quality, operational efficiency, controls effectiveness, and business impact. - Collaborate with Risk, Compliance, Legal, Controls, and Data Governance to ensure products operate within ap