Data Science Lead - Generative AI (Gen AI) - Business Banking

JPMorgan Chase & Co.•New York, NY

55d

About The Position

Join us to lead the next wave of Gen AI innovation in Chase Business Banking, driving impactful solutions for our customers and business partners. As the Data Science Lead in Chase Business Banking, you will lead the next wave of Gen AI innovation, promoting impactful solutions for our customers and business partners. You will lead a team of junior data scientists to develop and deploy Gen AI use-cases that enhance Field Experience, Product Management, Customer Management, and Marketing. You will partner closely with Product Owners, Design, and Technology, acting as a key member of the product quad. Your role will be pivotal in assessing the performance, effectiveness, and implications of AI agents and systems, providing actionable, data-promoten feedback for continuous improvement. You will champion ethical AI practices, ensuring fairness, transparency, and accountability in all solutions.

Requirements

Advanced degree (PhD or MSc) in a scientific field (Computer Science, Engineering, Data Science, etc.) with 8+ years of experience in AI/ML.
Proven experience leading data science teams and delivering AI/ML solutions in a business context. Expertise in statistical analysis, pattern identification, and data-driven decision-making.
Deep understanding of AI/ML model evaluation, including metrics, methodologies, and calibration. Hands-on experience with bias detection and mitigation techniques.
Experience working with Gen AI technologies and frameworks. Knowledge of ethical AI principles: bias, fairness, transparency, and accountability. Familiarity with agentic AI architectures and prompt engineering. Proficiency in Python and SQL.
Proficiency in designing and executing testing protocols for agent behavior and system validation.
Exceptional communication and reporting skills, with the ability to convey complex findings and risks clearly.
Strong understanding of the Software Development Life Cycle (SDLC). Experience working within cloud platforms such as AWS, GCP, or Azure.

Nice To Haves

Financial services industry experience preferred.
Experience in risk assessment, particularly in identifying and addressing ethical risks in AI systems.
Understanding of regulatory requirements and compliance protocols related to AI.

Responsibilities

Lead a team of junior data scientists in developing Gen AI use-cases for Chase Business Banking.
Design, implement, and optimize agentic AI architectures to support advanced Gen AI use-cases.
Define and implement robust metrics to evaluate AI agent performance (e.g., accuracy, efficiency).
Analyze agent outputs and behaviors to identify opportunities for improvement and optimization.
Conduct bias detection and mitigation, perform fairness assessments, and ensure transparency in AI systems.
Provide actionable feedback to junior data scientists and AI engineers to enhance agent performance.
Collaborate with Product Owners, Design, and Technology partners to drive use-case development and deployment.
Assess and report on the performance, effectiveness, and implications of AI agents and systems.
Communicate complex findings, risks, and recommendations to stakeholders at all levels.
Uphold the highest standards of data integrity, security, and compliance with internal and external regulations.