Product Manager Vice President, Payments XDLC Transformation – Product Transformation

Job Description

Payments- XDLC Transformation- Product Manager- Vice President | JPMorgan Chase

The Tone:
This is a core leadership role at JPMorgan Chase, driving product delivery transformation within one of the world’s largest payments businesses. The company innovates new product offerings and leads the end-to-end product lifecycle. This role is integral to shaping and advancing a Payments-wide transformation agenda, improving how Payments teams work today, and translating insights into a new target operating model. The work directly impacts the speed, quality, predictability, and auditability of Payments product delivery.

The TL;DR
• Role: Full Time
• Team: Payments XDLC Transformation team, partnering with senior leaders across every Payments’ product line.
• Mission: To establish a predictable, scalable, and auditable product delivery operating model for JPMC’s Payments business by embedding AI/agentic tools and updated ways of working.
• Tech Stack: GenAI assistants, agentic workflows, BI/data tooling, tool/function calling, workflow orchestration, retrieval, evaluations, AI tools and platforms.

What You’ll Actually Do
• Operating Model Leadership: Lead the build-out of the new target operating model for the Payments Product Development Lifecycle (PDLC), defining lifecycle stages, roles (human + agent), decision rights, governance, and how work flows across PDLC and Software Development Lifecycle (SDLC).
• Pilot Pod Management: Lead the end-to-end launch and iteration of cross-functional pilot pods, including rollout, feedback loops, office hours, and expansion from Minimum Viable Product (MVP) toward broader adoption across Payments.
• Insight Generation: Apply AI and analytical tools (e.g., GenAI assistants, agentic workflows, BI/data tooling) to derive insights from pod activity, lifecycle telemetry, and practitioner feedback, translating these into operating-model direction and roadmap decisions.
• Strategy & Vision Development: Develop the strategy and vision for the Payments XDLC operating model, lifecycle standards, and ways of working, translating them into a pragmatic roadmap that delivers measurable value to Payments product and engineering teams.
• Controls Integration: Partner with risk, controls, compliance, and architecture to embed “built-in” controls (e.g., automated evidence, standardized guardrails) directly into the operating model and lifecycle standards to improve auditability and reduce operational risk.

The Must-Haves
• Background: Vice President level with 5+ years of experience in product management or relevant domains such as platform/developer-experience product, AI product, enterprise technology transformation, or change management, coupled with advanced knowledge of the product development lifecycle, design, and data analytics.
• Experience: Proven ability to lead product lifecycle activities from discovery and ideation to strategic development, requirements definition, and value management, including hands-on experimentation with current GenAI and agentic concepts and their safe application in enterprise environments.
• Skills: Strong relationship and interpersonal skills enabling the ability to build trusted partnerships and influence senior business and technology executives, an independent “go-getter” orientation comfortable with ambiguity and personally driving outcomes, and excellent written, verbal, and executive-level presentation skills to translate complex technical topics into clear narratives for both technical and non-technical audiences.
• Bonus: Prior experience in a highly matrixed, complex organization, product experience within Payments or the broader CIB with familiarity of end-to-end payment flows and modern payments capabilities, experience leading change management or transformation programs in financial services or other regulated industries, shaping and scaling operating models or developer experience programs used by internal engineering and product teams, working knowledge of modern agile product delivery models and software engineering practices (e.g., Scrum, SAFe, DevOps, CI/CD) across the PDLC and SDLC, proficiency using AI tools and platforms in day-to-day work for operational efficiency, or an undergraduate or graduate degree in Economics, Finance, Math, Computer Science, Engineering, or a related field.