JPMorgan Chase & Co.

Sep 30, 2026

AI/ML Product Delivery Manager - Payments - Vice President

United States

Plano, Texas, United States

PythonSQLAWS

About the opportunity

We are building the next generation of AI-enabled automation for a payments platform—using data, machine learning, and agentic AI to improve reliability, reduce operational risk, and accelerate resolution of payment issues at scale.

As a Product Manager / AI Product Manager in the Payments Platform team, you will define and drive the product strategy for AI-powered automation, partnering closely with engineers, operations leads, and control partners. This is a high-visibility role at the intersection of payments domain workflows, ML (especially anomaly detection), and LLM-based systems (RAG, agentic orchestration).

A part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money, and assets. The team of experts tackles complex challenges at every stage of the payment lifecycle. And their industry-leading solutions facilitate seamless transactions across borders, industries, and platforms.

Operating in over 160 countries and handling more than 120 currencies, J.P. Morgan Payments business is the largest processor of USD payments, with a daily transaction volume of $10 trillion.

Job responsibilities *

Own the AI automation roadmap for the payments platform, focused on measurable outcomes (e.g., reduced exceptions, faster triage, fewer breaks, improved STP, improved detection/precision). *

Identify and prioritize high-impact payment workflows suitable for AI augmentation or automation (investigation, reconciliation support, exception classification, root-cause suggestions, alert deduplication, etc.). *

Lead rapid proof-of-concept (PoC) development using AI/ML to validate value quickly, then scale successful PoCs into production-grade capabilities. *

Drive anomaly detection strategy (signals, feature sets, model approach, thresholds, monitoring) to detect payment issues, ops anomalies (as applicable), and process breaks early. *

Translate business and user needs into clear product requirements (PRDs/user stories), acceptance criteria, and phased delivery plans. *

Partner with engineering/ML teams to design LLM + RAG solutions (knowledge grounding, context retrieval, evaluation, safety/controls, feedback loops). *

Define and track success metrics (precision/recall for anomalies, false positives, latency, automation rate, operational savings, reliability, control posture). *

Drive alignment across stakeholders (operations, technology, data, risk/controls) and own end-to-end delivery from discovery to launch and iteration. *

Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination *

Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements *

Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners

Required qualifications, capabilities, and skills *

Experience in product management (or equivalent role) delivering data/AI-enabled products from concept to launch. *

Deep understanding of machine learning models, with particular strength in anomaly detection techniques and operationalization (monitoring, drift, retraining strategy, alert quality). *

Hands-on fluency with Python and SQL (enough to partner effectively, prototype, validate datasets/outputs, and reason about implementation). *

Strong understanding of LLMs, including RAG, prompt/context design, evaluation approaches, and common failure modes. *

Familiarity with agentic AI systems (tool-using agents, orchestration patterns, guardrails, human-in-the-loop designs). *

Ability to work with structured and semi-structured data and to define data requirements (quality, lineage, access patterns) for ML/LLM systems. *

Strong stakeholder management skills in complex environments; able to drive decisions, tradeoffs, and execution.5+ years of experience or equivalent expertise in product delivery or a relevant domain area *

Demonstrated ability to execute operational management and change readiness activities *

Strong understanding of delivery and a proven track record of implementing continuous improvement processes *

Experience in product or platform-wide release management, in addition to deployment processes and strategies *

Experience deploying containerized AI/ML or automation applications on AWS using ECS (Fargate or EC2 launch type), with familiarity in related services such as ECR, ALB, CloudWatch, and IAM roles for task execution.

Preferred qualifications, capabilities, and skills *

Payments industry knowledge (payment flows, exceptions, investigations, reconciliation, messaging/clearing concepts, operational risk). *

Experience productizing ML in regulated environments (model risk, controls, explainability, auditability, reliability). *

Experience building/leading evaluation frameworks (offline tests, golden datasets, human review, online monitoring). *

Prior work delivering automation in high-scale operational platforms (workflow orchestration, case management, alerting systems).Proficient knowledge of the product development life cycle, design, and data analytics

FEDERAL DEPOSIT INSURANCE ACT:

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs careers.jpmorgan.com/us/en/how-we-hire/faqs for more information about requesting an accommodation.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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AI/ML Product Delivery Manager - Payments - Vice President

About the opportunity

Job responsibilities *

Required qualifications, capabilities, and skills *

Preferred qualifications, capabilities, and skills *

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