Executive Director - Control Manager - Firmwide Chief Analytics Office

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Corporate Sector

This role is for an Executive Director - Control Manager in the Firmwide Chief Analytics Office at JPMorgan Chase. The primary focus is on leading AI-related Risk & Controls and Compliance & Operational Risk Evaluation (CORE) Program governance. The role involves ensuring AI/ML standards and policies are implemented, managing operational risk, conducting risk assessments, and supporting the community of practice for AI/ML Analytics Control Managers. It requires experience in AI/ML risk management and financial services controls.

What you'd actually do

  1. Ensure key controls described in relevant AI/ML Analytics Standards and Policies are reflected in CAO CORE content, leveraging strong knowledge of the CORE platform.
  2. Engage CAO partners to review and understand key processes & practices, strengthen risk & control identification, support control testing (conducted by the Testing Center of Excellence (TcoE)), and drive rigorous issue management (in case of control breaks or gaps)
  3. Partner with business and control stakeholders to develop risk and control management framework documents for mitigating risks relevant to AI/ML.
  4. Lead risk and control assessments in partnership with control management and business teams (e.g., Operational Risk Summaries, Regulatory Topic Assessments, Residual Risk Reviews).
  5. Strengthen/Support the community of practice for AI/ML Analytics Control Managers across Lines of Business (LOBs) and Corporate Functions (CFs), including changes to standards, practices, common controls, and calibration.

Skills

Required

  • Experience with estimation and AI/ML risk management practices, including risks related to various modeling techniques, Generative AI, Agents, and AI/ML development.
  • Financial services experience in controls, information security, audit, quality assurance, risk management, or compliance; strong understanding of the three lines of defence model.
  • Solid understanding of Compliance and Operational Risk Management frameworks.
  • Sound judgment in risk assessment, work prioritization, senior leader engagement, and change management.
  • Experience leading cross-functional initiatives to analyze, design, and implement best practices.
  • Demonstrated leadership and judgment to influence a strong risk culture, including senior management presentations and exchanges.
  • Strong problem-solving and analytical skills; ability to synthesize large data sets and draw actionable conclusions.
  • Excellent written and verbal communication skills; able to articulate and explain business issues and controls effectively.

Nice to have

  • Business acumen and understanding of relevant regulations.
  • Strong interpersonal, collaboration, and relationship-building skills; ability to build coalitions and influence with an end-to-end mindset.
  • Self-motivated and able to work autonomously; adaptable to shifting priorities and able to manage competing demands in a fast-paced, results-oriented environment.
  • Ability to manage ambiguity, make informed decisions, influence stakeholders, and justify decision-making.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint); ability to develop compelling executive presentations highlighting opportunities and recommendations for improvement.

What the JD emphasized

  • AI/ML risk management practices
  • risks related to various modeling techniques, Generative AI, Agents, and AI/ML development
  • financial services experience in controls, information security, audit, quality assurance, risk management, or compliance
  • strong understanding of the three lines of defence model
  • Solid understanding of Compliance and Operational Risk Management frameworks