With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our Company Value and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

 

Join Team Amex and let's lead the way together.

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 manager to be a part of this exciting journey.

 

Responsibilities:

• Implement 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.
• Identify heightened and novel risks presented by Traditional AI and Gen AI and oversee controls in line with AXP’s risk and control framework. Establish guidance and requirements for minimum recommended controls for each risk pillar in partnership with first and second line of defense.
• 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.
• Develop 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.
• Collaborate with leadership across Technologies, Privacy, Legal, Data and other organizations to report on the organization’s risk appetite for AI and monitor adherence to established thresholds.
• Collaborate with GCO and other key partners, to develop and implement an enterprise-wide training module for Traditional AI and Gen AI risks.
• Support the Gen AI risk governance council meetings for Gen AI Risk governance, use case risk assessments, including related record keeping and preparation of materials.
• Support the socialization of the Gen AI use case risk assessment intake governance and life cycle management.
• Support the socialization of the Gen AI risk policy setting forth risk assessment and governance structure, roles and responsibilities, and risk management requirements.

 

• 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 Gen AI usage.
• Track enterprise activities and develop leadership reporting as directed, including on AI risk taking, inventory, and escalations.
• Support other internal teams on their regulatory exams/ reporting, public disclosures, board and risk committee reporting, litigation, etc.
  
  
  

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

 

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• Proven track record in operationalizing risk management frameworks for 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.
• Ability to bring the right balance of big picture thinking and intellectual curiosity. Applies a learning mindset to courageously and patiently evaluate multiple perspectives to reach a conclusion.
• 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 certifications.