AI​/ML Product Manager Vice President

Overview

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.

• Own the AI automation roadmap for the payments platform, focused on measurable outcomes such as reduced exceptions, faster triage, fewer breaks, improved straight-through processing, and improved detection and precision.
• Identify and prioritize high-impact payment workflows suitable for AI augmentation or automation, including investigation, reconciliation support, exception classification, root‑cause suggestions, and alert deduplication.
• Lead rapid proof‑of‑concept 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, and monitoring—to detect payment issues, operational anomalies, and process breaks early.
• Translate business and user needs into clear product requirements, acceptance criteria, and phased delivery plans.
• Partner with engineering and ML teams to design LLM + RAG solutions, including knowledge grounding, context retrieval, evaluation, safety controls, and feedback loops.
• Define and track success metrics such as precision, recall, false positives, latency, automation rate, operational savings, reliability, and control posture.
• Coordinate alignment across stakeholders—operations, technology, data, risk, and controls—owning end‑to‑end delivery from discovery to launch and iteration.
• Oversee product delivery processes including intake, dependency management, release management, product operationalization, feasibility decision‑making, and performance reporting, while identifying opportunities to improve efficiencies.
• Lead change‑management activities across functional partners, ensuring adherence to risk, controls, compliance, and regulatory requirements.
• Manage timelines and dependencies, monitor blockers, ensure adequate resourcing, and liaise with stakeholders and functional partners.

• Experience in product management (or equivalent role) delivering data/AI‑enabled products from concept to launch.
• Deep understanding of machine learning models, especially anomaly detection techniques and operationalization (monitoring, drift, retraining, alert quality).
• Hands‑on fluency with Python and SQL sufficient to partner effectively, prototype, validate datasets, and reason about implementation.
• Strong understanding of LLMs, including RAG, prompt and context design, evaluation approaches, and common failure modes.
• Familiarity with agentic AI systems, guardrails, and human‑in‑the‑loop designs.
• Ability to work with structured and semi‑structured data and define data requirements for ML/LLM systems.
• Strong stakeholder‑management skills in complex environments; ability to drive decisions, trade‑offs, and execution. Five years or more of experience in product delivery or a comparable domain.
• Demonstrated experience executing operational‑management and change‑readiness activities.
• Proven track record of implementing continuous improvement processes and delivering releases at scale.

• Payments industry knowledge—payment flows, exceptions, investigations, reconciliations, and operational risk.
• Experience productizing ML in regulated environments, including model risk, controls, explainability, auditability, and reliability.
• Experience building or leading evaluation frameworks such as offline tests, golden datasets, human review, and online monitoring.
• Prior work delivering automation in high‑scale operational platforms, including workflow orchestration, case management, and alerting systems.

We offer a competitive total rewards package including a base salary, commission‑based pay, and discretionary incentive compensation. Additional benefits include comprehensive health care coverage, retirement savings plans, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.

JPMorgan Chase & Co. is an equal opportunity employer and places a high value on diversity and inclusion. 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 status, veteran status, pregnancy, 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.

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