Product Solutions Manager - Data and AI - Vice President

JPMorgan Chase & Co.; City Of London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A global financial institution is seeking a Product Solutions - Data and AI - VP to shape internal analytics using Fusion Platform. The role requires collaboration across product, engineering, and architecture teams while creating training materials and documentation. Ideal candidates should have strong skills in data analysis, statistical modeling and AI technologies. Join a pioneering team to influence product strategies and drive innovation.

Qualifications

• Understanding of regression, tree-based methods, and neural networks.
• Run AI speed effectively.
• Experience with open-source data analysis tools.

Responsibilities

• Support internal clients in leveraging Fusion Platform capabilities.
• Engage with clients to understand requirements.
• Develop AI/ML experiments and applications.

Skills

Understanding of statistical models

Proficiency in Python, R, MATLAB, or Scala

Experience in data science and quantitative modeling

Knowledge of machine learning libraries

Ability to create technical documentation

Hands-on experience with LLMs and GenAI chatbots

Ability to manage ambiguity

Strong skills in synthesizing complex information

Excellent communication skills

Education

Master's degree in a quantitative discipline

Tools

Large-scale data analysis tools (e.g., Spark)

Job description

Job Description

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.

Role title

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.

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.