Senior Data Product Associate

Testing Site - JPMC; Plano (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, Texas is seeking a Senior Product Associate to shape data products through user research and metrics analysis.

You will collaborate with cross-functional teams to deliver customer value and drive business success in the home lending domain. You will contribute to the product development lifecycle, support discovery and requirements, and help craft a strategic data product roadmap.

Qualifications

• 3+ years of experience in product management or a relevant domain area, with overall experience of at least 8+ years.
• 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.

Responsibilities

• Partner with the Product Manager to identify new data product opportunities that reflect the needs of our customers and the market through user research and discovery.
• Consider and plan for upstream and downstream implications of new data product features on the overall product experience.
• Support the collection of user research, journey mapping, and market analysis to inform the strategic data product roadmap and provide insight on potential product features that provide value to customers.
• Analyze, track, and evaluate product metrics including work to time, cost, and quality targets across the data product development life cycle.
• Write requirements, epics, and user stories to support data product development.

Skills

Product management

Lifecycle knowledge

Collaboration

Job description

JPMorgan Chase & Co. in Plano, Texas is seeking a Senior Product Associate to shape data products through user research and metrics analysis.

You will collaborate with cross-functional teams to deliver customer value and drive business success in the home lending domain. You will contribute to the product development lifecycle, support discovery and requirements, and help craft a strategic data product roadmap.