Risk Manager, AI Risk Program

Overview

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and more. We partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

The Risk Manager, Artificial Intelligence Risk Program, will lead and manage the design, implementation, and oversight of the firm s AI Risk Management Program within the Second Line of Defense (SLOD). This role is responsible for providing the management, independent review, challenge, and advisory support to ensure the organization s development and use of artificial intelligence - including generative AI - is safe, responsible, compliant, and aligned with the firm s risk appetite, ethical principles, and regulatory expectations.

Reporting to the Senior Director of Data and AI Risk Management within Operational Risk Management, the Manager partners closely with the first-line business managers, product, technology (including the CDO office), data science, as well as Compliance, Legal, Privacy, Third-Party and Technology & Security Risk, to embed AI risk requirements across the enterprise. The role plays a key part in enabling innovation while ensuring AI-related risks are appropriately identified, assessed, monitored, and governed.

Compensation and location
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The base pay scale for this position in Phoenix, AZ / Chicago, IL is $104,000 - $130,000. New York, NY / San Francisco, CA is $125,000 - $156,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits. This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned. Early Warning considers a variety of factors when determining a competitive salary offer, including job scope, market rates and geographic location, candidate s education, experience, training, and specialized skills or certification(s) in relation to the job requirements.

The company supports wage equity and prohibits discrimination on protected classes.

• AI Risk Governance & Program Management — Manage the development, maintenance, and ongoing enhancement of the enterprise AI Risk Management framework, policies, standards, procedures, and control expectations, aligned with industry frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001.
• Maintain and evolve the AI risk and control taxonomy, ensuring consistency with operational risk, model risk management, data governance, privacy, and technology risk frameworks.
• Oversee the development and use of risk management technologies and tooling used to inventory AI use cases, track risks, controls, issues, and approvals.
• Participate in and support enterprise governance forums, committees, and working groups related to AI providing independent risk perspectives and recommendations.
• Develop and deliver training on the AI Risk Management program.
• Risk Appetite / Tolerance, Metrics & Monitoring — Support the development and maintenance of AI-related risk appetite / tolerance statements, thresholds, and tolerances, in alignment with the enterprise risk appetite and regulatory expectations.
• Design, implement, and monitor key risk indicators (KRIs), key performance indicators (KPIs), and key control indicators (KCIs) to measure AI risk exposure and program effectiveness.
• Analyze trends, emerging risks, and control performance related to AI risk exposures.
• Risk Identification & Assessment — Develop and maintain AI use case risk assessment methodologies, including inherent risk identification, control evaluation, residual risk determination, and escalation criteria.
• Execute the second line of defense enterprise-level AI risk profile assessment to measure…