Product Manager Data and AI

About the Role

As a Product Manager Data and AI focusing on Knowledge Management, you will be an integral part of the Chief Data & Analytics Office at JPMorganChase, innovating new solutions for the firm's AI use cases. This role involves building platform products to leverage JPMorganChase's rich proprietary data assets and enable Retrieval-Augmented Generation (RAG). You will collaborate closely with product leaders, data scientists, and engineers across various lines of business.

You are a core leader responsible for acting as the voice of the customer, developing products that provide significant customer value. Leveraging your deep understanding of product development, you will guide successful product launches, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you will work with cross-functional teams to deliver high-quality products that exceed customer expectations.

Job Responsibilities

• Drive the product vision and strategy of enterprise Knowledge Management, enabling RAG and agentic workflows across unstructured data.
• Partner closely with all lines of business to identify, prioritize, and solution key AI and data use cases.
• Drive the end-to-end product management lifecycle, including integration of data sources – from requirements gathering, prioritization, solutioning, writing clear Product Requirement Documents (PRDs), and partnering with designers and engineers on execution.
• Own, maintain, and develop a product backlog to support the overall strategic roadmap and value proposition.
• Work with client engagement and product marketing teams to refine product positioning and messaging.
• Draft communication materials for stakeholder discussions at varying levels of seniority and technicality.
• Stay at the forefront of what’s possible with AI and RAG, especially industry developments.

Required Qualifications, Capabilities, And Skills

• 5+ years of experience or equivalent expertise in AI and data platform product management or a relevant domain area.
• Advanced knowledge of the product development lifecycle, design, and data analytics.
• Track record of leading product management lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management.
• Strong ability to communicate complex technical materials to technical and non-technical stakeholders, in both written and verbal forms.
• Excellent ability to collaborate with senior stakeholders and technical leads.
• Organized with a great sense of ownership and accountability.
• Bachelor’s or Master’s degree in Machine Learning or Computer Science.

Preferred Qualifications, Capabilities, And Skills

• Demonstrated prior experience working in a highly matrixed, complex organization.
• Technical expertise in retrieval-augmented generation and advanced RAG, such as GraphRAG and search.
• Prior engineering experience, with skills in Python programming and SQL.

Key skills/competency

• AI Product Management
• Data Platform Strategy
• Knowledge Management
• Retrieval-Augmented Generation (RAG)
• Product Lifecycle Management
• Stakeholder Communication
• Data Analytics
• Python Programming
• SQL
• Machine Learning