Senior Product Associate
JPMorgan Chase · New York, United States · 17d ago
SeniorOn-siteProduct Management
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
As a Senior Product Associate in Corporate & Investment Banking Planning & Analysis Data Transformation and Innovation, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact on business reporting and analytics. You will support product strategy and delivery for data and AI-enabled capabilities, translating user needs into a prioritized backlog and actionable requirements. You will also partner across business, technology, and data teams to improve data consumption patterns and influence decision-making through analytics.
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.
As a Senior Product Associate in Corporate & Investment Banking Planning & Analysis Data Transformation and Innovation, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact on business reporting and analytics. You will support product strategy and delivery for data and AI-enabled capabilities, translating user needs into a prioritized backlog and actionable requirements. You will also partner across business, technology, and data teams to improve data consumption patterns and influence decision-making through analytics.
Job responsibilities
- Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development
- Develops and executes data and product strategy that delivers value to end users, with emphasis on reporting, analytics, and planning modernization.
- Conducts user interviews, prioritizes user needs, tests ideas, and converts findings into scalable solutions.
- Designs and delivers AI-enabled product capabilities, including experience working with multi-agentic workflows, Model Context Protocol (MCP), and related emerging AI orchestration patterns to drive intelligent automation and decision support.
- Understands financial data models across multiple data products and applies that understanding to define data requirements and acceptance criteria.
- Collaborates and presents technical information in a clear and concise manner to both technical and non-technical audiences, including senior stakeholders.
Required qualifications, capabilities, and skills
- 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Proficient knowledge of the product development life cycle
- Experience in product life cycle activities including discovery and requirements definition
- Developing knowledge of data analytics and data literacy
- Excellent communication skills, effectively conveying complex data concepts to both technical and non-technical stakeholders.
- Demonstrated ability to formulate product strategy, maintain a roadmap, and manage a backlog with clear prioritization rationale.
- Strong understanding of data models and BI tools.
- Financial services industry domain expertise, with comfort operating in complex, highly governed environments.
- Bachelor's degree or equivalent practical experience in a relevant field (e.g., Business, Computer Science, Information Systems, Engineering, Economics).
Preferred qualifications, capabilities, and skills
- Knowledge of cloud-based data platforms and technologies such as AWS and Databricks.
- Experience with emerging data consumption tools and patterns, including self-service analytics enablement.
- Experience with AI/ML technologies and their application in product development, including familiarity with large language models, multi-agentic workflows, or AI orchestration patterns and their application in product development.
- Experience translating complex financial data and controls constraints into clear product requirements and testable acceptance criteria.
- Familiarity with business intelligence (BI) tools and experience in SQL for data analysis and reporting