Job at a glance
As an Applied AI Product Director at JPMorganChase within J.P. Morgan Personal Investing (JPM PI), you will own the product vision, strategy, and roadmap for AI-powered solutions across the business spanning large language models, agentic systems, intelligent automation, AI assistants, and rapid prototyping infrastructure. This is not a role that simply manages a backlog. You will define what AI can do for JPM PI, translate emerging capabilities into applied tools that deliver measurable results, and lead cross-functional teams to build and deploy them at scale.
You will collaborate closely with Data Scientists, Software Engineers, other product teams, and business stakeholders to deliver impactful AI solutions from NLP-powered insights and automation platforms to self-serve AI enablement that empowers every team to build better product features and deliver richer customer experiences. You will also shape our AI integration strategy, developing a clear point of view on how agentic workflows, emerging standards, and third-party AI tooling are changing what's possible, and making the build-versus-partner-versus-defer calls that keep us moving at the right pace.
This role requires a leader who delivers measurable results for sophisticated AI products under ambiguous conditions in a fast-paced environment someone who is as comfortable discussing an API spec or an auth flow with an engineering team as they are presenting an AI strategy to senior management. You will thrives in collaborative squads, are passionate about the transformative potential of AI, and have the conviction to define what \"great\" looks like as the landscape evolves., Develops and articulates a clear Applied AI product strategy and roadmap that delivers meaningful value across JPM PI, covering LLMs, agentic capabilities, AI assistants, intelligent automation, and rapid prototyping, while setting team goals, success metrics, and priorities aligned with broader business objectives.
Leads cross-functional teams of Data Scientists, Software Engineers, and Platform teams to move AI solutions from concept to production at scale, making decisions on AI tooling and capabilities to keep delivery moving at the right pace. Turns ambiguous demand into prioritised, validated AI use cases with clear production pathways through measurable experiments, delivering results for sophisticated AI products under conditions of genuine uncertainty.
Identifies where autonomous agents, multi-step reasoning, tool-using architectures, and emerging integration standards create step-change opportunities across the business, evaluating internal and third-party AI platforms AI to ensure JPM PI stays at the frontier without creating ungoverned dependencies. Empowers teams across JPM PI to safely leverage JPMC AI tools through repeatable workflows, reusable skills, practical guardrails, and structured training, building and running the framework for how we tier, prioritise, and resource AI use‑case requests across multiple teams and functions.
Works closely with data teams to surface actionable insights, shape AI‑ready datasets, identify data constraints and quality gaps, and unlock new product features through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context-aware development assistance, copilot-delivered boilerplates, root-cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework and overhead.
Leverages internal AI platforms and prototyping infrastructure to move from idea to working prototype at speed, then partners with Product and Engineering to convert prototypes into production-grade solutions. Leads change impact assessments for new or modified AI products, owns AI risk assessments and related reporting, and contributes to the definition and ongoing review of the Risk Appetite st