JPMorgan Solutions Engineering - Product Manager 

United Kingdom, England, London 

508869162

Job responsibilities

• Leads solutioning and the adoption of existing and upcoming client-facing products and capabilities while defining and configuring optimal solutions that address clients’ needs and objectives.
• Serves as a subject matter expert on a defined set of products and capabilities with a deep understanding of our clients’ needs and current industry trends.
• Engages with client teams to better understand pain points and refine solutions while regularly communicating critical client feedback to Product teams to inform the strategic product roadmap.
• Supports internal clients use of the Fusion Platform for providing expertise and guidance on multiple Product capabilities.
• Engages with internal clients to understand their requirements and support implementation of integrated data and ai solutions.
• Represents the Chief Data and Analytics Office Product Roadmaps, articulating benefits and providing guidance and options on paved paths.
• Develop examples AI/ML experiments, applications and tools including tutorials, reference implementations, and presentations for internal clients.
• Provide feedback to product and engineering teams to help shape product development and strategy.
• Balance multiple tasks, client engagements, and continuous learning to keep up with academic trends.
• Manages office hours to educate, demo and collect feedback and issue from internal clients
• Coordinate across the Product, Engineering and Architecture teams implement integrated solutions.

Required qualifications, capabilities, and skills

• Considerable experience or equivalent expertise in problem-solving across multiple teams and a cluster of products
• Extensive experience working in a sales cycle and engaging with clients on a regular basis. Experience modifying preconfigured solutions to meet complex problems.
• Demonstrated prior experience working in a highly matrixed and complex organization.
• Understanding of a wide range of statistical models (for example regression, tree-based methods, artificial neural networks)
• Good programming skills in at least one of the commonly used languages for data analysis (for example Python, R, MATLAB, Scala).
• Experience with applying data science/quantitative modeling to real world, financial use cases. Knowledge of open-source data analysis tools and machine learning libraries
• Experience in creating technical documentation and presentations and the ability to present to a technical and non-technical audience. Comfortable in a fast-moving environment with often loosely defined tasks where interaction with senior management is required.
• Hands-on experience in or solid 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

Preferred qualifications, capabilities, and skills

• Master's degree in a quantitative discipline
• Knowledge of cloud data science and machine learning services
• Experience with tools for large scale and distributed data analysis (for example Spark)