Business Modeling - Applied AI Modeling Executive Director

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Posted: 81 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $232k

$162k most similar roles pay here $293k

This listing doesn't post a salary. Most similar roles pay $195,000–$268,993.

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 · Business Modeling - Applied AI Modeling Executive Director

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As a Business Modeling - Applied AI Modeling Executive Director within the AI Modeling Data and Analytics organization, you will lead a team of experts to design, deploy, and scale robust AI/ML systems. You will architect next-generation solutions specifically for credit card business decisions by integrating advanced machine learning, deep learning architectures, and agents into production environments. Your daily work involves translating complex business needs into technical solutions while managing the full lifecycle of models involving neural networks, reinforcement learning, causal inference, and foundational models. You will establish MLOps best practices and oversee rigorous validation to meet regulatory standards. Required skills include proficiency in Python, TensorFlow, PyTorch, and data science tools like NumPy and Scikit-Learn. Experience with cloud environments such as AWS, Azure, or GCP, along with Databricks or Snowflake, is essential for solving these high-impact financial problems.

Skills

Machine Learning Deep Learning Python TensorFlow PyTorch MLOps AWS Azure GCP Databricks Snowflake Scikit-Learn NumPy Pandas Jupyter Transformer Architectures Reinforcement Learning Causal Inference Distributed Computing

What you'll do

Architect and oversee the integration of advanced machine learning and deep learning architectures into production environments.
Translate complex business needs from stakeholders into technical solutions across the full AI/ML lifecycle.
Lead a team of experts in researching and adopting cutting-edge techniques like reinforcement learning and foundational models.
Establish best practices for MLOps, cloud-native deployment, and regulatory compliance.
Build and lead a high-performing team of AI scientists and engineers through structured development plans.
Oversee the rigorous validation, documentation, and monitoring of models to mitigate risk.
Manage the deployment of scalable AI/ML systems specifically focused on credit card business challenges.

What we're looking for

Advanced degree (PhD or MS) in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Economics, or a related field.
10+ years of experience designing, developing, and deploying advanced AI/ML models.
At least 5 years of experience in a technical leadership or architecture role.
Expertise in deep learning frameworks such as TensorFlow and PyTorch.
Proficiency in Python and modern data science tools like Jupyter, NumPy, Pandas, and Scikit-Learn.
Experience architecting and deploying AI/ML solutions in cloud environments (AWS, Azure, or GCP) using platforms like Databricks or Snowflake.
Proven ability to lead, mentor, and build high-performing technical teams.
Strong communication skills to explain complex technical concepts to both technical and non-technical audiences.