Vice President Product Manager - Consumer Community Banking Data & Analytics, Data Management

JPMorgan Chase; Columbus (OH); Sur place; USD 133 000 - 215 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. is seeking a Vice President Product Manager for Consumer Community Banking Data & Analytics.

This leader drives end-to-end product life cycles for data management offerings, champions data quality, and partners across engineering, governance, and business stakeholders to deliver scalable, customer-centric data products. The role emphasizes governance, cataloging, and responsible AI capabilities, with hands-on oversight of product strategy, discovery, backlog, and measurable

Qualifications

• 5+ years of experience in product management or a related domain.
• 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, multi-agent orchestration).
• Experience shipping AI-powered or agent-driven product features with guardrails and responsible AI considerations.
• Understanding of how agents consume metadata, lineage, and data catalogs to reason over enterprise data.

Responsabilités

• 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.

Connaissances

Product management

Data analytics

Data governance

Metadata cataloging

Generative AI

Agentic AI

AI feature deployment

Cross-functional collaboration

Description du poste

Vice President Product Manager - Consumer Community Banking Data & Analytics, Data Management

Jersey City, NJ, United States

and 1 more

Job Information

• Job Identification 210797395

• Job Category Product Management

• Business Unit Consumer & Community Banking

• Posting Date 10/13/2026, 02:06 PM

• Locations 575 Washington Blvd, Jersey City, NJ, 07310, US1111 Polaris Pkwy, Columbus, OH, 43240, US

• Job Schedule Full time

• Job Shift Day

• Base Pay/Salary Jersey City,NJ $133,000.00-$215,000.00

Job Description

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).

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

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.