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Job Description
Payments XDLC Transformation – Senior Product Associate | JPMorgan Chase
The Tone:
This is a full-time role at JPMorgan Chase. The company is driving a Payments-wide initiative to establish a predictable, scalable, and auditable product delivery operating model. This role matters by leveraging product development and optimization expertise to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings.
The TL;DR
• Role: Full Time
• Type: Full-time
• Team: Payments XDLC Transformation team
• Mission: Establish a predictable, scalable, and auditable product delivery operating model by embedding AI/agentic tools and updated ways of working across a common lifecycle for JPMC’s Payments business.
• Tech Stack: AI and analytical tools (Claude, GitHub Copilot, Microsoft Copilot, Excel / BI tools)
What You’ll Actually Do
• Product Strategy: Partner with the Product Manager to identify new product opportunities reflecting customer and market needs through user research and discovery.
• Operating Model Definition: Help build out the new target operating model for the Payments PDLC, defining lifecycle stages, roles, decision rights (human + agent), governance, and work flow across PDLC and SDLC.
• Pilot Program Enablement: Support the launch and ongoing enablement of cross-functional pilot Pods, including onboarding materials, office hours, and feedback loops to generate adoption and learnings.
• Insight Generation: Apply AI and analytical tools to derive insights from pod activity, lifecycle telemetry, and practitioner feedback, translating these into recommendations that shape the operating model.
• Controls Integration: Collaborate with risk, controls, and compliance partners to translate “built-in” controls into operating-model and lifecycle standards that improve auditability and reduce operational risk.
The Must-Haves
• Background: Senior Product Associate. Requires 3+ years of experience in product management or a relevant domain such as technology transformation, change management, developer experience, or operating-model work.
• Experience: Proficient knowledge of the product development lifecycle, including discovery, requirements definition, backlog management, and launch activities.
• Skills: Developing knowledge of data analytics and data literacy; hands-on experimentation with AI tools and agentic systems (e.g., Claude, GitHub Copilot, Microsoft Copilot); strong written and verbal communication skills to translate technical concepts; ability to work independently and collaboratively across matrixed teams.
• Bonus: Working knowledge of modern agile product delivery models and software development practices (e.g., Scrum, SAFe, DevOps, CI/CD); exposure to change management or transformation programs; experience partnering with engineering, design, and risk/controls in a regulated environment; undergraduate degree in Economics, Finance, Computer Science, Engineering, or a related field.