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

JPMorganChase; London; On-site; GBP 65,000 - 80,000; Full time

Job summary

A global financial services firm is seeking an experienced Product Manager to lead the Chief Data & Analytics Office. This role involves driving the evolution of machine learning platform serving capabilities. Candidates should have over 6 years in product management and a strong technical understanding of machine learning and Kubernetes. This position is crucial for enhancing data-driven decision making and operational efficiency at the firm.

Qualifications

• 6+ years of experience in product management.
• In-depth technical knowledge of ML lifecycle management.
• Strong agile mindset with rapid prototyping ability.

Responsibilities

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

Skills

Product management

Machine learning

Agile methodologies

Leadership

Stakeholder management

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Cloud computing architectures

Job description

Join to apply for the Product Manager - Chief Data & Analytics Office (Vice President) role at JPMorganChase

1 day ago Be among the first 25 applicants

Join to apply for the Product Manager - Chief Data & Analytics Office (Vice President) role at JPMorganChase

Get AI-powered advice on this job and more exclusive features.

JOB DESCRIPTION

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.

Overview

JOB DESCRIPTION

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management and Marketing

Referrals increase your chances of interviewing at JPMorganChase by 2x

Sign in to set job alerts for “Product Manager” roles.

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom £65,000.00-£80,000.00 1 month ago

London, England, United Kingdom 3 days ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Northern Europe Product Merchandising Manager

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

Weybridge, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.