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

J.P. MORGAN; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading financial institution in the UK is looking for an experienced Product Manager to lead machine learning model serving initiatives. Responsibilities include defining strategic vision and collaborating with diverse stakeholders. Candidates should have over 6 years in product management, expertise in ML platforms, and familiarity with Kubernetes. This role offers the opportunity to impact the firm's AI strategy significantly.

Qualifications

• 6+ years of experience in product management.
• Successful record in delivering enterprise-scale products.
• In-depth knowledge of ML lifecycle management.

Responsibilities

• Define a strategic vision for model serving.
• Develop platform features for machine learning model deployment.
• Collect business requirements and create PRDs.

Skills

Product management

Machine learning platform solutions

Kubernetes

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.

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.