AI/ML Platform Product Executive Director

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
67 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $245k
$181k most similar roles pay here $310k

This listing doesn't post a salary. Most similar roles pay $207,000–$282,075.

Based on 239 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · AI/ML Platform Product Executive Director

AI/ML Platform Product Executive Director As a leader within the Consumer & Community Banking Fraud Strategy organization, you will define the vision and multi-year roadmap for a real-time fraud intelligence platform. You will oversee the entire product lifecycle to detect fraud rings, coordinated attacks, and multi-step schemes across digital banking and payment ecosystems. Your daily work involves building capabilities in transformer-based ML, graph intelligence, sequence modeling, and MLOps while managing dynamic feature infrastructure including streaming and feature stores. You will collaborate with Data Science, Engineering, and Model Risk Management teams to deliver governed models that balance fraud-loss reduction with customer experience. Key technical requirements include expertise in graph features, embeddings, model CI/CD, drift detection, and automated retraining. You must translate complex technical capabilities into business value while ensuring compliance through explainability and bias checks in adversarial environments.

What you'll do

  • Own the multi-year product vision and roadmap for a real-time fraud intelligence platform using machine learning and graph intelligence.
  • Develop capabilities to detect fraud rings, coordinated attacks, and multi-step schemes through dynamic feature engineering and sequence modeling.
  • Establish end-to-end model lifecycle standards including CI/CD, monitoring, drift detection, and automated retraining.
  • Productize graph intelligence features such as entity schemas, embeddings, and explainability requirements for fraud detection.
  • Lead experimentation and transition validated proofs of concept into production capabilities to reduce fraud loss.
  • Embed governance by design, ensuring model explainability, bias checks, and compliance with regulatory requirements.
  • Translate complex technical capabilities and experiment outcomes into actionable business insights for senior leadership.

What we're looking for

  • Bachelor's degree required.
  • 8+ years of experience delivering products, projects, or technology applications.
  • 5+ years building or owning ML-enabled products such as feature platforms, model platforms, or fraud decisioning systems in production environments.
  • Deep expertise in fraud, payments risk, trust and safety, cybersecurity, or other adversarial domains.
  • Strong technical fluency in applied machine learning, data systems, and production constraints like latency and scale.
  • Proven ability to lead cross-functional execution with Engineering, Data Science, Operations, and Model Risk Management teams.
  • Exceptional communication skills and executive presence to translate technical capabilities into business value for senior leadership.
  • Authorized to work for any employer in the United States.

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