JPMorgan Chase
Payments- XDLC Transformation- Product Manager- Vice President
$133K–$215K
New York, NY +1 · Director · Full-time · Posted Oct 8, 2026
- Location
- New York, NY
Jersey City, NJ - Experience
- 5+ years, or equivalent expertise, in product management or a relevant domain area.
- Education
- Undergraduate or graduate degree in Economics, Finance, Math, Computer Science, Engineering, or a related field (preferred).
About the job
Leads the Payments-wide product delivery transformation, defining a scalable and auditable operating model and piloting AI-enabled ways of working across the product and software development lifecycles.
What you'll do
- Define the Payments PDLC target operating model, lifecycle standards, roles, governance, and workflow across PDLC and SDLC.
- Launch and improve cross-functional pilot pods, using AI, analytics, and feedback to guide adoption and roadmap decisions.
- Own the product roadmap and backlog, track success metrics, and partner with product, technology, risk, controls, compliance, and architecture leaders.
What they ask for
- 5+ years of experience or equivalent expertise in product management or a relevant domain.
- Advanced knowledge of the product development life cycle, design, and data analytics.
- Proven ability to lead product lifecycle activities, including discovery, ideation, strategy, requirements, and value management.
- Hands-on familiarity with GenAI and agentic concepts and their safe application in enterprise environments.
Nice to have
- Prior product experience in Payments or broader CIB, including familiarity with payment flows and modern payments capabilities.
- Experience with transformation or operating-model programs in complex or regulated organizations.
Pay
USD 133,000.00-$215,000.00 base salary (New York, NY); USD 133,000.00-$215,000.00 base salary (Jersey City, NJ)
Tools
GenAI assistants, agentic workflows, BI / data tooling, Scrum, SAFe, DevOps, CI/CD
AI focus
Applies AI and analytical tools, including GenAI assistants and agentic workflows, to analyze team activity and lifecycle data and inform operating-model and roadmap decisions.
Model-written summary · the original posting is authoritative