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Senior Product Associate

Job in New York, New York County, New York, 10261, USA
Listing for: JPMorgan Chase Bank, N.A.
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, AI Business & Operations, Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 99750 - 150000 USD Yearly USD 99750.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

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

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…

Position Requirements
10+ Years work experience
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