Product Solutions Manager - Data and AI - Vice President

J.P. Morgan; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A multinational financial services firm is seeking a Product Solutions – Data and AI - VP in London to maximize data and analytics outcomes using Fusion Platform Solutions. You will collaborate with various teams, develop documentation, and guide clients in using advanced tools. The ideal candidate has strong skills in statistical models and programming for data analysis, with experience in real-world financial applications.

Qualifications

• Understanding of statistical models such as regression and neural networks.
• Ability to manage ambiguity and context switch effectively.
• Run @ AI speed with hands-on experience in GenAI chatbots.

Responsibilities

• Support internal clients with Fusion Platform capabilities.
• Engage clients to implement integrated solutions.
• Develop AI/ML experiments and tutorials.

Skills

Statistical models understanding

Proficiency in Python

Data science application

Open-source analysis tools knowledge

Technical documentation skills

Experience with LLMs

Communication skills

Education

Master’s degree in a quantitative discipline

Tools

Python

R

MATLAB

Scala

Spark

Job description

Overview

Join us to shape the future of data and AI at JPMorgan Chase, where your expertise drives innovation and commercial impact. You’ll collaborate with talented teams, develop your skills in cutting-edge technologies, and help clients unlock the full potential of our Fusion Platform. We value curiosity, creativity, and a passion for learning. Here, your contributions accelerate data-driven outcomes and career growth. Be part of a team that inspires progress and empowers success.

As a Product Solutions – Data and AI - VP in the Chief Data and Analytics Office Product and Platform team, you will enable internal teams to maximize their data and analytics outcomes using Fusion Platform Solutions and Services. You will build expertise in Data and AI domains, create high-quality documentation and training materials, and guide clients in leveraging advanced tools. You’ll collaborate across product, engineering, and architecture teams to deliver integrated solutions. Your work will help shape product strategy and drive innovation across the firm.

Responsibilities

• Support internal clients in leveraging Fusion Platform capabilities for data and AI solutions
• Engage with clients to understand requirements and implement integrated solutions
• Represent product roadmaps, articulating benefits and guiding clients on best practices
• Develop AI/ML experiments, applications, tutorials, and reference implementations
• Provide feedback to product and engineering teams to influence development and strategy
• Balance multiple tasks and client engagements while staying current with industry trends
• Manage office hours to educate, demo, and collect feedback from clients
• Coordinate across product, engineering, and architecture teams to deliver solutions
• Synthesize complex information clearly and precisely for diverse audiences
• Communicate effectively with technical and non-technical stakeholders
• Adapt quickly and thrive in a fast-paced, dynamic environment

Required Qualifications, Capabilities, and Skills

• Understanding of statistical models such as regression, tree-based methods, and neural networks
• Proficiency in at least one programming language for data analysis (e.g., Python, R, MATLAB, Scala)
• Experience applying data science and quantitative modeling to real-world financial use cases
• Knowledge of open-source data analysis tools and machine learning libraries
• Ability to create technical documentation and present to varied audiences
• Run @ AI speed
• Hands-on experience or strong understanding of LLMs, fine-tuning, GenAI chatbots, agentic architectures, and evaluation approaches
• Ability to manage ambiguity and context switch effectively
• Operate efficiently in high-speed, evolving settings
• Strong skills in synthesizing complex information
• Excellent communication skills

Preferred Qualifications, Capabilities, and Skills

• Master’s degree in a quantitative discipline
• Knowledge of cloud-based data science and machine learning services
• Experience with large-scale and distributed data analysis tools (e.g., Spark)

Why Join Us?

Be part of a collaborative, innovative team that values your growth and empowers you to make a real impact. At JPMorgan Chase, you’ll help shape the future of data and AI, working with passionate colleagues and industry-leading technologies.