JPMorgan AI Product Manager - Executive Director 

United States, New York, New York 

604776564

As an AI Product Director in the Machine Learning Center of Excellence, you will have the unique opportunity to be a pivotal leader in our firm-wide transformational efforts to shape the future of banking. You will be partnering with senior data scientists in the MLCOE and lines of businesses to build and manage firm-wide analytics products. You will be a key leader of a cross-functional team of data scientists, engineers, architects, designers, annotators, and project managers and will have the chance to shape your product's vision, strategy, adoption, and manage ongoing stakeholder demand. You will push the boundaries of what is possible and innovate quickly in a rapidly evolving field.

Job Responsibilities

• Leading strategic planning, goal-setting, roadmaps, requirements gathering, stakeholder management, and ongoing support of products that meet both strategic, business, and regulatory demands
• Defining and championing a strategic vision and roadmap for the product and being the evangelist for that vision across all functions
• Engaging with senior stakeholders across various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business Management) to collect business requirements, create PRDs, and deliver products
• Overseeing and prioritizing high-impact initiatives requested by stakeholders
• Directing and overseeing the planning and execution of testing for new functionality and regression testing
• Providing comprehensive updates on project status to senior management and stakeholders, ensuring alignment and transparency

Required qualifications, capabilities, and skills

• 9+ years of experience in product management, with a proven track record of leadership and strategic impact
• Strong track record of owning and developing a product domain strategy and roadmap. Able to balance short-term goals and long-term vision.
• Experience capturing and analyzing requirements (internal and external) and translating them into a viable product through agile development is a must. Able to build strong partnerships with technical teams.
• Deep knowledge of the data ecosystem, spanning from data ingestion, data engineering, data quality, data orchestration, end-to-end infrastructure, usage/consumption, and data privacy considerations and governance.
• Comprehensive understanding of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionization, and feedback capture

Preferred qualifications, capabilities, and skills

• Proven experience in business analysis and driving operational change/system development. Able to identify critical requirements and potential gaps by understanding complex and interdependent processes.
• Proven experience with Operations and/or Front Office and/or Consulting within the banking industry is a plus
• Knowledge of AI/ML, Cloud (AWS) computing and architecture, Big Data management technologies, and ML platform tools is a plus
• Strong knowledge of MS tools; Excel, PowerPoint, Project, Visio, SharePoint or other collaboration tools (Figma, Lucid)
• Practical knowledge of JIRA to build roadmaps