J.p. Morgan Wealth Management - Executive Director, AI Transformation & Strategic Execution Lead

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Executive Director role focused on developing and executing AI strategy within JPMorgan Wealth Management. The role involves architecting the AI portfolio, identifying high-impact use cases, partnering with tech teams to build and integrate AI solutions (including Generative AI and agentic AI), and translating data into actionable insights for executive leadership. Requires strong leadership, strategic planning, and communication skills, with a focus on driving business transformation and measurable outcomes.

What you'd actually do

  1. Develop, drive, and own a comprehensive AI strategy for Chase Wealth Management, aligned to business goals and growth objectives
  2. Architect and spearhead the AI portfolio, shifting from traditional management to a dynamic value-creation engine focused on measurable business impact
  3. Identify, prioritize, and champion high-impact AI use cases to improve operational efficiency, advisor productivity, and client service
  4. Influence and help manage the AI agenda with cross-functional teams across technology, digital, product, and operations in a matrixed organization, often through indirect management and collaboration
  5. Partner with Product and Technology teams to design, build, and integrate AI solutions, serving as a subject matter expert and thought leader on emerging AI trends and best practices

Skills

Required

  • Bachelor’s degree
  • 10+ years of proven experience in AI leadership, strategy, and solution design within financial services, wealth management, management consulting, or strategic program management
  • Demonstrated track record of leading large-scale business transformation initiatives and delivering impactful AI use cases in complex business environments
  • Hands-on experience building and implementing AI-driven solutions, with expertise in Generative AI, agentic AI, machine learning, and automation technologies
  • Deep subject matter expertise in AI/ML concepts and their practical application to solve real-world business challenges and drive value
  • Hypothesis-driven problem solver with the ability to dissect complex, ambiguous problems and architect elegant, data-driven solutions
  • Mastery of executive-level communication; able to distill complex analyses into simple, compelling narratives and build sophisticated analytical models to support recommendations
  • Demonstrated experience partnering with technical teams to deliver solutions from concept to implementation, and ability to work cross-functionally as an individual contributor
  • Exceptional influencing and relationship-building skills, with the ability to build trust and consensus with senior executives, cross-functional partners, and technical teams
  • Strategic vision to drive transformation and break down silos across teams
  • Familiarity with competitor AI strategies, industry best practices, and responsible AI adoption and governance

Nice to have

  • Experience building AI roadmaps with measurable business outcomes
  • Experience with data visualization tools (e.g., Tableau, Alteryx) is a strong plus
  • Background in technology, product, analytics, consulting, or digital transformation
  • Wealth management experience is preferred but not required
  • Experience designing and executing holistic AI strategies across multiple business units
  • Ability to operate effectively in a matrixed organization, leading through influence and indirect management
  • A bias for action and an entrepreneurial spirit; comfortable challenging the status quo and relentlessly driving outcomes

What the JD emphasized

  • AI leadership
  • strategy
  • solution design
  • large-scale business transformation initiatives
  • delivering impactful AI use cases
  • complex business environments
  • Hands-on experience building and implementing AI-driven solutions
  • Generative AI
  • agentic AI
  • machine learning
  • automation technologies
  • Deep subject matter expertise in AI/ML concepts
  • practical application to solve real-world business challenges
  • drive value
  • hypothesis-driven problem solver
  • dissect complex, ambiguous problems
  • architect elegant, data-driven solutions
  • executive-level communication
  • distill complex analyses into simple, compelling narratives
  • build sophisticated analytical models
  • partnering with technical teams to deliver solutions from concept to implementation
  • work cross-functionally as an individual contributor
  • Exceptional influencing and relationship-building skills
  • build trust and consensus with senior executives
  • cross-functional partners
  • technical teams
  • Strategic vision to drive transformation
  • break down silos across teams
  • responsible AI adoption and governance

Other signals

  • AI strategy development
  • AI initiative leadership
  • cross-functional AI implementation
  • Generative AI and agentic AI expertise