Senior Product Associate, C360

JPMorgan Chase & Co.; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Product Associate for Client360 to own the end-to-end lifecycle of Financials capabilities.

You will integrate data from internal platforms and third parties into a single conformed financial reporting layer and deliver a trusted silver profile used by downstream platforms. This hands-on product role emphasizes scalable, production-ready capabilities, strong operating discipline, and collaboration with cross-functional teams across CIB.

Qualifications

• 3+ years of experience in product management or a related domain.
• Knowledge of the product development life cycle.
• Experience in discovery and requirements definition.
• Developing knowledge of data analytics and data literacy.
• Familiarity with how the CIB engages clients across products.

Responsibilities

• Identify new product opportunities through user research and discovery.
• Plan upstream and downstream implications of new features.
• Collect user research, journey mapping, and market analysis.
• Analyze product metrics across development life cycle.
• Write requirements, epics, and user stories.
• Collaborate with tech leads to design solutions.
• Support agile ceremonies and remove blockers with teams.
• Coordinate with data teams for end-to-end alignment.
• Build and validate SQL-based reporting prototypes.
• Leverage AI capabilities while ensuring data governance.
• Apply AI-assisted SDLC practices for traceability and security.

Skills

Product management

SQL

Agile

Data analytics

Cross-functional leadership

User research

Education

Advanced degree

Tools

Databricks

Alteryx

Job description

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 Client360, you play a key role in delivering core data products used across the firm every day. You will own the end-to-end product lifecycle for Financials capabilities- integrating data from internal product platforms and third-party providers into a single, trusted financial reporting layer and delivering a conformed "silver profile" that downstream platforms rely on. This is a hands-on product role focused on shipping scalable, production-ready capabilities (not an advisory or analytics-only role) and requires strong operating discipline, technical fluency, and cross-functional leadership. As part of Client360, you will champion user-centric service delivery, maximize the value and usability of data and AI solutions, and drive business satisfaction across the Commercial & Investment Bank (CIB)

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
• Collaborate with technology leads and engineers on solution design; produce lightweight requirements/design artifacts to enable implementation.
• Support agile ceremonies (refinement, sprint planning, demos, retros) and work day-to-day with scrum teams to drive execution and remove blockers.
• Coordinate with upstream and downstream application/data teams to ensure end-to-end alignment, data quality, controls, and operational readiness.
• Build and validate SQL-based reporting and prototypes to support analysis, performance measurement, and troubleshooting of data issues.
• Leverage enterprise-authorized AI capabilities to accelerate analysis and documentation while validating outputs and handling data in accordance with sensitivity, security, and governance requirements.
• Apply reuse-first, AI-assisted SDLC practices to strengthen requirement quality and data pipeline quality (e.g., test/control evidence generation), supporting traceability, auditability, resiliency, and security expectations

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
• Knowledge of the firm's business landscape, including how the CIB engages clients across products and services.
• Proven experience delivering complex, cross-functional initiatives spanning data analysis, financial reporting, and technology delivery.
• Demonstrated ability to document operating models/processes and drive change through strong partnerships and stakeholder management.
• Strong analytical toolkit and agile mindset; ability to query and analyze data using tools/languages such as SQL (and platforms such as Databricks; tools such as Alteryx, where applicable).
• Execution mindset with high attention to detail and ability to deliver against defined requirements.
• Strong problem-solving skills with ability to synthesize large datasets into clear insights and crisp messaging.
• Strong written and verbal communication skills with ability to tailor messaging to different audiences; proven ability to hold partners accountable for quality deliverables.

Preferred qualifications, capabilities, and skills

• Experience working in a highly matrixed, complex organization.
• Extensive experience in Data management, data operations, or CRM systems within a financial institution.
• Advanced degree in Computer Science, Data Science, Business, or a related field.