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

JPMorgan Chase & Co.; London; On-site; GBP 85,000 - 110,000; Full time

Job summary

A leading global financial institution is seeking an experienced AI Platform Product Manager to drive the evolution of its ML platform's serving layer. The role involves defining the vision for model serving, developing features for model deployment, and collaborating with diverse teams. The ideal candidate has over 6 years of experience in product management and expertise in ML lifecycle management and Kubernetes. This position is based in London, offering a dynamic working environment and an opportunity to influence cutting-edge product solutions.

Qualifications

• 6+ years of experience in product management in a technology-driven environment.
• Experience in delivering enterprise-scale ML platform products.
• Hands-on experience with Kubernetes for model serving.

Responsibilities

• Define and execute a strategic vision for model serving.
• Develop platform features for machine learning model deployment.
• Collaborate with business stakeholders to define requirements.

Skills

Product management

ML lifecycle management

Kubernetes

Cloud computing architectures

Agile mindset

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.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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 or veteran status, pregnancy or 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. Visit our FAQs for more information about requesting an accommodation.

About the Team

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.