Product Manager- Vice President

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Product Manager in Business Banking who will lead end-to-end product lifecycle, champion customer voice, and drive scalable, high-value offerings.

You will guide discovery, define requirements, and partner with cross-functional teams to deliver compelling client experiences. You will own the backlog, measure success with metrics, and ensure governance and regulatory alignment.

Qualifications

• 5+ years of product management experience
• Advanced knowledge of product development lifecycle, design, and data analytics
• Hands-on experience developing and deploying Data Science and ML capabilities in production at scale

Responsibilities

• Actively work to gain a deep understanding of business challenges and processes
• Develops a product strategy and vision that delivers value to customers
• Lead discovery and prioritization of high-value AI opportunities; size impact and maintain a ranked use-case pipeline
• Owns and maintains the product backlog aligned with strategic roadmap
• Builds metrics framework to track cost, features, risk, and reliability
• Ensure product meets policy/regulatory expectations; manage risks and audits
• Collaborate with cross-functional stakeholders and communicate trade-offs clearly

Skills

Product management

Data analytics

ML in production

Cross-functional leadership

Regulatory governance

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 Product Manager in Business Banking, 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 strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

Job responsibilities

• Actively work to gain a deep understanding of intricate business challenges and processes
• Develops a product strategy and product vision that delivers value to customers
• Lead discovery and use-case prioritization: identify high-value AI opportunities, size impact/feasibility, and maintain a ranked use-case pipeline.
• 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
• Risk, controls, and governance: ensure the product meets policy/regulatory expectations; manage issues, operational risk, and audit readiness.
• Cross-functional stakeholder leadership: align business, operations, technology, risk, legal, compliance, and data governance; communicate trade-offs and decisions clearly

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
• Ability to work on tasks and projects through completion with limited supervision. Passion for detail and follow through
• Effective verbal and written communication skills with technical and business audiences
• Hands-on experience developing and deploying Data Science and ML capabilities in production at scale

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• Good understanding of AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks.
• Experience defining robust evaluation sets and leading teams through quantitative and qualitative evaluations and iterations to achieve reliable, high-quality delivery.
• Proven track record of delivering and launching successful products at scale.