Product Solutions Director

As a Product Solutions Data and AI Director within the CDAO Organization, you will enable JPMC Firmwide teams to deliver AI value from the Fusion Platform Solutions and Services. You will build expertise in one or more Data or AI domains, help create and maintain high-quality user documentation and training materials and guide clients in leveraging tools and capabilities to enable their data and analytics outcomes. We are seeking a highly motivated senior specialist with a solid foundational knowledge in Data and AI/ML technologies.

The Chief Data and Analytics Office Product and Platform team is responsible for designing and delivering governance, discovery, access, and data and AI services, empowering JPMorgan Chase teams to accelerate their data and analytics journeys and maximize commercial outcomes. The Chief Data and Analytics Office Product and Platform Client Engagement Team is responsible for account management, solutions, implementation and client service for JPMorgan Chase Lines of Business and Corporate Functions. You have a curious and commercial mindset and are interested in learning about internal client use cases. You are a significant contributor to a team that defines and helps clients implement integrated solutions with the Fusion Platform.

Job responsibilities

• Leads supporting internal clients use of the Fusion Platform by providing technical expertise and guidance on multiple Product capabilities. 
• Mentors a team of Data and AI specialists, fostering a collaborative and innovative environment to drive team performance and professional growth.
• Drives engagement with internal clients to understand their requirements and support implementation of integrated Data and AI solutions. 
• Supports developing the day-to-day operations of the Data and AI Specialist team, improving efficient workflow, resource allocation, and project delivery.
• Contributes to development and represents the Chief Data and Analytics Office (CDAO) Product Roadmaps, articulating benefits and providing guidance and options on paved paths. 
• Leads development of examples AI/ML experiments, applications and tools including tutorials, reference implementations, and presentations for internal clients. 
• Provides thought leadership and contributes to technical white papers on Data and AI/ML implementations. 
• Provides feedback to product and engineering teams to help shape product development and strategy. 
• Balances multiple tasks, client engagements, and continuous learning to keep up with industry trends.    
• Manages office hours to educate, demo and collect feedback and issues from internal clients
• Coordinate across the Product, Engineering and Architecture teams to implement integrated solutions 

Required qualifications, capabilities, and skills

• 8+ years of experience or equivalent expertise delivering products, projects, or technology applications.
• Understanding of a wide range of statistical models (for example regression, tree-based methods, artificial neural networks) 
• Programming skills in at least one of the commonly used languages for data analysis (for example Python, R, Scala), experience with cloud computing platforms (for example AWS, Azure, or Google Cloud Platform)
• Experience with applying data science/quantitative modeling to real world, financial use cases. 
• Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience. 
• Experience working in a fast-moving environment with often loosely defined tasks where interaction with senior management is required. 
• Hands-on experience in or good understanding of LLMs, their capabilities and limitations 
• Fine-tuning LLMs for specific tasks and applications 
• GenAI chatbots/summarization services and GenAI business applications 
• Agentic architectures, orchestration patterns and evaluation approaches 
• Agentic systems automating complex tasks and decision-making processes
• Comfortable with ambiguity
• Master at context switching
• Run @ AI speed
• Clear and precise synthesizer of complex information
• Strong communication skills.

Preferred qualifications, capabilities, and skills

• Knowledge of open-source data analysis tools and machine learning libraries