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Strategy Senior Associate – AI Enablement: Solutions & Client Enablement - London, England, United Kingdom

London, England, United Kingdom
Full time
Posted 5 months ago
Logo of JP Morgan
JP Morgan
Banking, investment & finance
10,001+ employees
638 jobs
Compare top employers

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 Senior AI Governance Associate 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

  • Design and execute the strategy for rolling out AI products across the Commercial & Investment Bank by persona
  • Assess available AI products and influence product roadmaps to meet Commercial & Investment Bank business requirements, including developing bank-specific features where needed
  • Synthesize information into clear views for senior management, including scenarios, key risks, and considerations in partnership with AI Governance
  • Define, track, and report success metrics across the AI tool inventory, including impact, usage, and return on investment
  • Enable client-facing teams through AI training, providing relevant materials and talking points on JPMorganChase’s AI strategy and approach
  • Track adoption and engagement metrics in partnership with the Strategic Reporting team to inform product feedback loops
  • Standardize rollout processes and AI solution materials to support senior management updates

Required Qualifications, Capabilities, and Skills

  • Experience applying AI in a financial services environment
  • Experience in strategy-focused roles with diverse problem-solving exposure, such as management consulting, corporate strategy, investment banking, or private equity
  • Bachelor’s or Master’s degree in a relevant field
  • Demonstrated ability to analyze problems and apply quantitative analytical approaches
  • Ability to quickly assimilate new information and communicate clearly to varied stakeholders
  • Strong verbal and written communication skills
  • Proficiency in Microsoft Excel and PowerPoint

Preferred Qualifications, Capabilities, and Skills

  • Understanding of AI and machine learning concepts, including how to use generative AI tools
  • Experience with prompt engineering, retrieval-augmented generation (RAG), and agentic workflows
  • Comfort operating in a fast-paced, agile environment supporting iterative product improvement

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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