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AI Governance & Regulatory Manager

JPMorgan Chase & Co.

Greater London

On-site

GBP 90,000 - 120,000

Full time

Today
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Job summary

A leading financial institution in Greater London is seeking an AI/ML Regulatory Engagement Manager to manage global regulatory engagements and drive strategic initiatives within the firm. You will collaborate with senior leaders across various functions, executing project workstreams from start to finish. The ideal candidate has significant experience in consulting or program management, with excellent communication skills. A keen interest in AI and Machine Learning is advantageous for this role. The position offers the opportunity to shape the firm's AI/ML strategy in a dynamic environment.

Qualifications

  • Significant experience in consulting, business management, analytics, or program management.
  • Strategic mindset with deep intellectual curiosity.
  • Self-starter with minimal supervision needed.
  • Ability to define and drive milestone deliveries.

Responsibilities

  • Independently execute project workstreams from inception to completion.
  • Lead working groups and brainstorming sessions for leadership decisions.
  • Develop innovative solutions for AI and data-driven culture transformation.
  • Support firmwide AI/ML senior governance bodies and critical topics.

Skills

Client management
Executive-level communication
Project management
Analytical thinking
Problem-solving

Tools

PowerPoint
Excel
Job description

Are you ready to shape the future of AI and Machine Learning at JPMorgan Chase? Join our Strategic AI Governance & Enablement team, where you'll manage global AI/ML regulatory engagements and collaborate with senior leaders across the Chief Analytics Office, risk and compliance, and business functions. This highly visible role offers the opportunity to drive strategic initiatives and integrate with the firm's AI/ML risk management framework.

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.
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