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

As an AI Product Director within the LLM Governance team, you will have the unique opportunity to be a critical player in our firm-wide efforts to drive the adoption and governance of AI across the firm. You will drive the product strategy, progression through the product development lifecycle, and partnership with technology partners necessary to deliver best-in-class products for the firm.   

Job Responsibilities 

Define a strategic vision and roadmap for the product that enhances transparency in LLM lifecycle management with oversight of assets: use cases, models, analytical tools, asset metadata, and model supply chain – from data sources to operational metrics.  Become the evangelist for the product vision across the firm and engage stakeholders across the Firm and demonstrate clarity, experience and criticality of the product. Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) and functional groups (Legal, Technology, Controls) to collect business requirements, create PRDs and ship high quality products that solve business needs  Demonstrate flexibility between being a team leader leading high-performing AI product management team and as an individual contributor in specific focus areas. Provide mentorship, coaching, and professional development opportunities to team members to foster a culture of innovation and excellence.  

Required qualifications, capabilities and skills 

10+ years of experience in product management with proven ability to lead and develop high performing product teams.  Strong track record of owning and developing a product domain strategy and roadmap. Able to balance short-term goals and long-term vision in highly complex environments.  Expertise on the AI lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring  Experience in AI/ML, LLM Governance and technology asset management Experience in practices, policies, and frameworks that guide the development, deployment, and management of large language models. Experience in data privacy management and audits including bias, compliance, and benchmarking etc., Familiarity with LLM frameworks such as LangChain, OpenLLM, and Llama Index Knowledge of operationalizing LLMs Responsibly through MLOps pipeline  Expertise in Cloud computing and architecture 

Preferred qualifications, capabilities and skills 

Experience in Financial Services or other highly regulated industries. Knowledge in LLMs inclusive of RAG, Fine Tuning, Agents, and Governance