Vice President Product Manager - Consumer Community Banking Data & Analytics, Data Management
JPMorgan Chase · Jersey City, United States +1 · 15h ago
SeniorOn-siteProduct Management
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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 Senior Product Manager in Data & Analytics Product Data management , 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 act as the voice of the customer, developing profitable data products that provide measurable customer value. Drawing on your deep understanding of how data is governed, cataloged, and consumed across the enterprise, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to data quality, scalability, resiliency, and stability, you collaborate closely with cross-functional teams engineering, data governance, and business stakeholders to deliver high-quality products that exceed customer expectations.
Job responsibilities
- Develops a product strategy and vision for data management capabilities that deliver value to customers and align to enterprise data standards
- Manages discovery efforts and market research to uncover customer data needs and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, data quality, risk posture, and reliability
- Partners with data governance, engineering, and consuming teams to ensure solutions meet regulatory, privacy, and metadata management requirements
- Defines the product strategy for agentic AI capabilities—autonomous agents that automate data discovery, cataloging, quality remediation, and governance workflows
- Partners with AI/ML engineering to operationalize LLM- and agent-based features, establishing guardrails for accuracy, explainability, human-in-the-loop oversight, and responsible AI use
- Defines success metrics for agentic features such as task automation rate, agent accuracy, escalation/intervention rate, and time-to-resolution
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
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Working knowledge of data management disciplines such as data governance, metadata, data cataloging, lineage, or data quality
- Familiarity with generative AI and agentic AI concepts LLMs, RAG, prompt design, tool-calling/function-calling, and multi-agent orchestration
- Experience shipping AI-powered or agent-driven product features, including evaluation, guardrails, and responsible AI considerations
- Understanding of how agents consume metadata, lineage, and data catalogs to reason over enterprise data
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Familiarity with data platforms, cataloging tools, or data governance frameworks
We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).