Ai Product Manager - Qci - Vice President - Machine Learning Center Of Excellence

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

The Machine Learning Center of Excellence (MLCOE) partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the MLCOE works together to employ cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.

As an AI Product Manager Vice President in the Machine Learning Center of Excellence, will be responsible for understanding client needs, designing solutions to translate these needs into workflows aligned with our strategic vision, managing overall delivery, and overseeing the go-to-market strategy for the product. You will collaborate with data scientists, engineers, market experts, annotators, and project managers to curate the feature vision, strategy, and execution.

Job Responsibilities

• Product thinking is second nature to you. You excel in ideation and execution, adept at interviewing users, and identifying user needs to solve business problems.
• You will create data flow diagrams, customer journey mapping, etc to clearly map out the requirements and user journey end-to-end.
• You create robust product requirement documents and set clear scope, test strategies and execution plans.
• You will work very closely with the data scientists and engineers to brainstorm ideas and solve business problems.
• You design metrics and KPIs to measure your feature/product success, and make sure your team and your stakeholders understand how you are measuring your product success.
• You will test new features, approve launches and engage stakeholders for an early preview.
• You will design and develop launch/roadshow contents, and work with the stakeholders to create platforms to showcase valuable new features.
• You will collect user testimonials and feedback on regular basis and will iterate the product to create incremental business value.
• You provide clients with a clear vision and communicate your execution strategy through a well-defined roadmap.

Required qualifications, capabilities and skills

• 6+ years of experience in product management focused around NLP/LLM products
• Passion for market instruments and possess strong knowledge of various asset classes, operations, and the instrument life cycle.
• Experience in cloud computing and architecture, ML platform processes, and tools spanning data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
• Experience working on projects involving the ML development lifecycle (MDLC), including annotation, model training, model serving, scoring, pre/post-processing, productionization, and feedback capture.
• Willingness to roll up your sleeves and do whatever it takes to make your team successful. Your self-confidence, poise, and personal presence inspire confidence in others. You drive partners to achieve superior performance while creating a supportive developmental environment.
• Ability to convert ambiguous needs into scalable business solutions. Your solutions are driven by logic, reason, and empirical observations.

Preferred qualifications, capabilities and skills

• Experience in operations, front office, or consulting within financial markets is a plus.
• Practical knowledge of JIRA to manage execution and build roadmaps
• Comfortable using tools like Figma, Miro, or Zeplin for running Design thinking sessions