Manager - AI Risk Management

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How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.

Functional Description

The Enterprise Risk Management (ERM) team, within the Global Risk and Compliance organization and led by the Chief Risk Officer, is responsible for establishing and maintaining the Company s overall risk management and governance framework. The team is also responsible for ensuring that risk management activities are being conducted in a manner compliant with regulatory requirements and expectations. The team aggregates and reports on key risk management and oversight activities to the relevant management and Board risk committees.

The ERM team is responsible for setting up frameworks for emerging risk types including technologies like Artificial Intelligence (AI) and Generative AI (Gen AI) and their adoption by the Company while ensuring safety and soundness. AI and Gen AI demonstrate potential in the areas of enhancing protection, productivity, and growth, but also introduce novel and heightens existing risks.

The Manager, Artificial Intelligence (AI) Risk Management is an emerging role focused on managing the risks associated with the development and deployment of artificial intelligence (AI) systems within American Express.

The incumbent will be responsible for executing on the overall risk management and governance framework for Traditional AI and Gen AI adoption at the Company. We are seeking an experienced leader to be a part of this exciting journey.

Responsibilities:

• Assist in operationalizing the AI risk management framework, AI risk policy, and AI risk capabilities to identify, measure, manage, monitor, and report risks related to Traditional AI and Gen AI.
• Test relevant controls in line with AXP s risk and control framework.
• Leverage AI risk framework to conduct risk assessments at an aggregate level and for various AI and Gen AI use cases, across the AI use case lifecycle.
• Prepare Board and management reporting on key risk metrics (Key Control Indicators, Key Risk Indicators and Key Performance Indicators) towards early identification of key Traditional AI and Gen AI risks.
• Execute monitoring and testing processes to continuously evaluate AI risks.
• Support the socialization of the Gen AI use case risk assessment intake governance and life cycle management.
• Support the inventorying of AI systems.
• Support the development and delivery of enterprise role-based curriculum for AI risks, including all colleague training.
• Facilitate and manage ongoing enhancements of risk factor analysis from all pillar SMEs and document minimum recommended controls for each risk area.
• Support the development, collection and publication of standardized metrics for tracking GenAI usage.
• Track enterprise activities and develop leadership reporting as directed, including on AI risk taking, inventory, and escalations.
• Inbound point of contact to other internal teams requiring support.
  
  
  

Qualifications:

• Deep technical expertise in AI/machine learning technologies and their potential risks, and strategic thinking ability to align AI risk management with business objectives.
• Minimum of five years-experience in risk management (preferably including Traditional AI and Gen AI), or related fields within the financial services industry. Strong background in risk management, compliance, and governance
• Proven track record in managing existing and emerging risks. Experience and expertise in Data Risk, Information Security, Operations, Privacy and Compliance is desirable. Experience in successfully executing AI risk management strategies in a Fortune 500 or similarly complex organization is desirable.
• Advanced degree in Technology, Engineering, Risk Management, Computer Science, Mathematics, or a related discipline is preferred.
• Knowledgeable of relevant Financial Services industry regulations globally, and AI standards, and ethical principles related to AI.
• Knowledgeable of managing heightened and novel risks associated with AI and emerging technologies, in particular for Gen AI.
• Knowledgeable of large language models (LLMs) and technology architecture, especially for cloud-based deployments would be a plus.
• Proven expertise and track record in data-driven risk management and analytics tools / technologies.
• Risk leader with proven track record of effectively building, nurturing, and managing risk management teams.
• Ability to collaboratively deliver outcomes and results in a volatile, unstructured, challenging, and ambiguous environment.
• Excellent communication and leadership skills to influence cross-functional teams.
• Relevant industry qualifications.