JP Morgan Chase - Senior Product Associate

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.

- Work closely with data and analytics professionals to interpret and analyze data.

- Facilitate data field transfers between source systems.

- Research data-related fields to identify gaps and build epics and stories to address them.

- 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 requirements, epics, and user stories to support product development.

Total Experience: 3-8 years

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.

- Advanced Jira skills to write Jira Query Language (JQL), configure epics, stories, and tasks to support product development.

- Runbook creation/maintenance, PowerPoint presentations, and workstream documentation.

Preferred Qualifications, Capabilities, and Skills:

- SQL and data analytics experience is a plus.

- Understanding of large-scale marketing campaigns.

- Experience in product analysis, focusing on data innovation and business banking deposits.

- Strong research and technical skills in the data space.

- Experience in researching complex transactions and building control reports.

- Agentic AI and LLM use case discovery.

- AI-powered marketing and customer engagement solutions.

- Prompt design, testing, and evaluation.

- Data governance, controls, and responsible AI.

- Partnering with Data Science, AI, Architecture, and Product teams.

- AI Tools: LLM Suites, Claude, Co Pilot Git Hub, BMAD, Confluence, Share Point.

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