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JPMorgan AI Governance & Regulatory Manager 
United Kingdom, England, London 
975355107

Yesterday

As an AI/ML Regulatory Engagement Manager within our dynamic team, you will be responsible for the comprehensive management of AI/ML-related regulatory engagements. This includes overseeing the preparation, planning, and execution stages, understanding the scope of engagements, assessing their impact, and identifying potential challenges. You will also provide continuous support throughout the regulatory lifecycle. In collaboration with Chief Data and Analytics Officers, Engineering teams, and Corporate Functions, you will contribute to the development of AI/ML and help promote the firm's strategic priorities.

Job Responsibilities:

  • Independently own and execute project workstreams within the Chief Analytics Office from inception to completion.
  • Lead working groups, problem-solving, and brainstorming sessions to prepare analysis for leadership decision-making.
  • Establish strong relationships with key AI/ML-related functions firmwide, building a deep network and understanding of the AI/ML landscape.
  • Develop innovative solutions to support the transformation into an AI and data-driven culture while informing the firmwide AI/ML strategy.
  • Support the agenda of firmwide AI/ML senior governance bodies, driving critical topics for AI/ML adoption.

Required Qualifications, Capabilities, and Skills:

  • Significant experience in consulting, business management, analytics, or program management in a complex environment.
  • Strategic mindset with deep intellectual curiosity.
  • Exceptionally strong client management and executive-level communication skills.
  • Ability to define and drive a delivery roadmap with milestone deliveries and status reporting.
  • Self-starter with the ability to perform duties with moderate to low supervision.
  • Anticipates and resolves issues with urgency.
  • Adapts to a rapidly changing business and technical environment.
  • Superior command of PowerPoint and Excel.

Preferred Qualifications, Capabilities, and Skills:

  • Experience in the Financial Services industry.
  • Interest in AI and Machine Learning; familiarity with AI/ML concepts is beneficial.
  • Openness to developmental feedback from peers.