Vice President Product Manager Data Product Strategy Lead

Vice President Product Manager Data Product Strategy Lead

Jersey City, NJ, United States

• Job Identification
• Job Category Product Management
• Business Unit Commercial & Investment Bank
• Posting Date 02/03/2026, 01:31 AM
• Locations 545 Washington Blvd, Jersey City, NJ, 07310, US
• Job Schedule Full time
• Base Pay/Salary Jersey City,NJ $-$

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 Data Product Strategy Lead in Corporate & Investment Bank (CIB) Chief Data & Analytics Office (CDAO) 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 ensure 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.

J.P. Morgan is seeking a talented candidate for the Corporate & Investment Bank (CIB) Chief Data & Analytics Office (CDAO) as a Data Product Strategy & Product Management – Vice President. This position is crucial for enabling the development of reusable data products across CIB’s various businesses, supporting AI and other advanced analytics initiatives. The role involves engaging with internal stakeholders, contributing to the strategic direction of data product development, enabling reuse and scaling of data products across the CIB and ensuring alignment with our firm’s broader data and analytics goals.

Job responsibilities

• Develops a product strategy and product vision that delivers value to customers
• Manages discovery efforts and market research to uncover customer solutions 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, risk posture, and reliability
• Develop and execute a comprehensive strategy for the creation, deployment, and continuous improvement of reusable data products that support AI and advanced analytics.
• Collaborate with multiple stakeholders across various lines of business to build a consistent view of data product development, use-case alignment, and adoption across the Bank.
• Define and deconstruct complex business problems to identify data product solutions, critically assess existing products, and influence the product development roadmap.
• Establish and track key performance indicators (KPIs) to measure the success of data products, providing synthesized analysis and strategic insights to senior management.
• Provide thought leadership by developing principles, training programs, and fostering a culture of collaboration and innovation to drive cultural change and promote data-driven decision-making
• Stay informed about industry trends and emerging technologies to improve our data products remain competitive and innovative.
• Leading the design and development of data products that support AI and advanced analytics, recommending they meet business needs and drive value.

• 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
• Demonstrated ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Bachelor’s or Master’s degree in a relevant field (for example Data Science, Computer Science, Business Analytics).
• Diverse problem-solving experience, such as 8+…