Product Manager, Agentic Treasury-Payments Data & Analytics-Vice President

You enjoy shaping the future of product innovation as a core leader driving value for clients guiding successful launches and exceeding expectations.

You are joining the JPMorgan Payments Data & Analytics team at the start of something new. Our team is building an Agentic Treasury (AT) capability for our clients - a suite of AI agents that will automate and augment how corporate treasurers manage cash management receivables payables cash flow forecasting and working capital decisions. You will take us on a 0-1 journey from proof-of-concept to production-grade client-ready systems and you will own the product thinking that makes that happen. You will be embedded in the Payments ecosystem working hand-in-hand with colleagues from functions like data science engineering design legal etc. You would help translate a complex multi-stakeholder landscape into a coherent agent product that only JPMorgan can build.

As a Product Manager Agentic Treasury- Payments Data & Analytics in our Payments business you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader you are responsible for acting as the voice of the client and developing profitable products that provide client value. Utilizing your deep understanding of how to get a product off the ground you guide the successful launch of products gather crucial feedback and ensure top-tier client experiences. With a strong commitment to scalability resiliency and stability you collaborate closely with cross-functional teams to deliver high-quality products that exceed client expectations.

Job responsibilities

• Own end-to-end product management for the AT initiative - from Proof-of-Concept scoping and design through iterative build internal validation and eventual production-grade client delivery
• Define and maintain the AT product roadmap translating organizational strategy partner team inputs and emerging agentic AI capabilities into a sequenced prioritized backlog
• Partner deeply with internal Payments business lines to align on data availability capability dependencies API integration points and go-to-market sequencing
• Lead cross-functional delivery across data science engineering design legal compliance and risk - driving alignment on scope acceptance criteria and release readiness
• Define agent behavior specifications: what data each agent consumes what decisions it makes or recommends what human-in-the-loop checkpoints are required and how performance is measured
• Own documentation rigor: product requirements agent logic specs partner integration playbooks and decision logs that make complex interdependencies legible across a large organization
• Drive sprint-level execution using agile methodologies - backlog grooming sprint planning standup and retrospective - keeping a distributed multi-team effort on track
• Establish and track product KPIs across the AT agent suite: automation rates exception volumes STP improvement time-to-resolution and adoption metrics that demonstrate business impact
• Communicate product status trade-offs and strategic decisions clearly upward to senior leadership and laterally across partner teams

Required qualifications capabilities and skills

• 5 years of product management experience in a complex cross-functional environment - you have shipped products that required navigating multiple internal stakeholders with competing priorities
• Proven ability to move from ambiguous problem space to structured product definition - you have written the PRD when there was no template and built the roadmap when there was no precedent
• Strong command of agile delivery: you have managed engineers run sprints unblocked teams and made real prioritization calls under pressure
• Demonstrated experience working across organizational boundaries - business technology legal risk compliance - to get something built and launched
• Excellent written and verbal communication - you can write a crisp one-pager for a senior executive and turn around a detailed spec for an engineer
• Bachelors degree in a quantitative technical or business discipline

Preferred qualifications capabilities and skills

• Experience in financial services payments or enterprise treasury/fintech - familiarity with how corporate clients think about cash positioning AR/AP workflows and working capital
• Exposure to AI/ML product development you have worked alongside data scientists understand what agentic systems are and have a point of view on what production-ready AI behavior looks like
• Familiarity with payment rails (ACH RTP FedNow SWIFT Fedwire) or treasury management platforms (Kyriba ION SAP TRM FIS) from a product or implementation perspective
• Prior experience at a management consulting firm fintech or enterprise software company where ambiguity was the default condition
• Ability to engage technical depth - Python SQL or equivalent - sufficient to interrogate data validate logic and have credible conversations with engineering partners