Product Manager - AI / ML - Chief Data & Analytics Office (Vice President)

J.P. MORGAN; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading financial services firm in London is seeking an experienced AI Platform Product Manager to enhance its ML platform. The role involves driving the strategic vision for model serving, ensuring security and scalability for deployment. Ideal candidates have over 6 years of product management experience, particularly in technology-driven environments focused on machine learning. This position offers an opportunity to influence best practices in a dynamic field.

Qualifications

• 6+ years of experience in product management.
• Demonstrated success in delivering enterprise-scale products.
• In-depth technical knowledge with a focus on ML lifecycle management.

Responsibilities

• Define and execute a strategic vision for model serving.
• Develop and refine platform features for ML models.
• Work with stakeholders to create PRDs and deliver products.

Skills

Product management

Machine learning lifecycle management

Kubernetes

Leadership

Agile mindset

Cloud computing architectures

Job description

Overview

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's AI and data journey. This includes developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an AI Platform Product Manager for Model Serving capabilities within the CDAO, you will have the unique opportunity to drive the evolution of our ML platform's serving layer. Focused on enabling streamlined, scalable, and secure model serving in both batch and real-time environments, you will work to enhance our platform's capabilities targeted towards Data Scientists and ML Engineers.

Job Responsibilities

• Define and execute a strategic vision specifically for model serving, incorporating detailed milestones, deliverables, resource allocation, and timelines to drive platform enhancements.
• Develop and refine platform features to simplify the deployment and serving of machine learning models, ensuring robust support for both batch and real-time serving via Kubernetes-based architectures.
• Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) and functional groups (Legal, Technology, Controls) to collect business requirements, create PRDs, and ship high quality products that solve business needs
• Drive the development of products for streamlining the passage of models through the Model Development Lifecycle, reducing the time to market for model deployment while enforcing strict governance and operational controls throughout the model lifecycle.
• Innovation & Reliability: Drive continuous innovation and ensure the reliability, scalability, and security of the serving infrastructure, directly influencing best practices in containerized model deployments using Kubernetes.

Required Qualifications, Capabilities, and Skills

• 6+ years of experience in product management with a proven ability to lead and develop high-performing teams in a technology-driven environment.
• Demonstrated success in delivering enterprise-scale products, particularly in the realm of ML platform solutions.
• In-depth technical knowledge with a focus on ML lifecycle management, including model deployment and monitoring, with hands-on experience in implementing or managing Kubernetes-based systems for both batch and real-time model serving.
• Exceptional leadership and collaboration skills, with the ability to influence cross-functional technology teams and business stakeholders effectively.
• A strong agile mindset, adept at rapid prototyping, iteration, and incorporating early user feedback.
• Proven track record in defining product domain strategy and roadmap, with the capacity to balance short-term deliverables with long-term technological vision in complex, matrixed organizations.
• Expertise in Cloud computing architectures.

Preferred Qualifications, Capabilities, and Skills

• Prior experience working in a highly matrixed, complex organization with a focus on establishing and scaling ML or data science platforms.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.