Help accelerate how AI shows up in real business workflows, at global scale. In this role, you will be at the center of rolling out AI tooling to the right teams, building adoption, and creating clear feedback loops to improve products. You will partner closely with product owners and leaders across Markets, Payments, Securities Services, and Global Banking to deliver measurable commercial impact. You will also help equip client-facing teams with clear, current messaging on JPMorganChase’s AI strategy as the external landscape evolves. If you thrive in a fast-paced, agile environment and enjoy combining strategy with hands-on execution, this is a chance to make a visible impact.
As a Strategy Senior Associate – AI Enablement: Solutions & Client Enablement in the AI Enablement team within the Chief Data & Analytics Office, you will drive the rollout and adoption of AI tools across the Commercial & Investment Bank. You will help ensure the most relevant, business-impactful tools reach the right personas, and you will translate engagement and outcomes into actionable insights for product roadmaps. You will enable client-facing teams with practical training and materials that reflect JPMorganChase’s AI strategy and approach. You will also support senior leadership with clear updates on progress, risks, and opportunities. You will work closely with partner pillars across AI Enablement, including Knowledge Enablement and Business Enablement, to deliver a cohesive rollout experience.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
JPMorganChase’s AI Enablement team is responsible for driving AI adoption and accelerating the analytics agenda globally across Markets, Payments, Securities Services, and Global Banking, integrating AI into business workflows to deliver measurable commercial impact. The Chief Data & Analytics Office advances traditional AI and machine learning and generative AI capabilities, identifies and prioritizes high-impact use cases, sets strategy for large language models and agentic AI, scales solutions across lines of business, and fosters an innovation-focused, AI-first culture.
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