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Permanent

Product Solutions Manager - Data and AI - Vice President

City of London
money-bag Negotiable
645CB64FE58DE30768082126C789CE4A
Posted Yesterday

OverviewJoin 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.

Job 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.

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