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1st shift (United States of America)The Senior AI Risk Oversight Manager provides leadership and drives the successful implementation of the AI Risk Oversight Program in the second line-of-defense (2LoD) including management of applicable roles and responsibilities. Ensures that resources, expertise, processes, practices, tools, and overall capabilities are effectively positioned and aligned to execute and deliver against the Program’s goals and objectives.
Essential Duties and Responsibilities
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Drive execution of AI Risk program activities from inception to completion, ensuring alignment with organizational goals and objectives, including but not limited to oversight of identification, mitigation, validation and monitoring of transverse AI risk (e.g., technology, data, operational, compliance, teammate).
2. Coordinate and communicate with stakeholders at all levels to ensure program success and address any issues or concerns.
3. Provide informal leadership to others in a matrixed environment.
5. Provide aggregation of risk metrics, status reporting and escalation as needed.
6. Serve as a subject matter expert and steward of the AI Risk Framework to aggregate and report AI risk metrics.
7. Strengthen and sustain proactive risk culture through conducting effective risk focused management and partnership routines with internal partners. Interface with senior leaders and key partners across the organization.
8. Provide review and challenge of maturity and adequacy of first line-of-defense (1LoD) risk program execution.
9. Monitor legal, regulatory, compliance and audit matters for assigned risk oversight area(s) and ensure timely action; Embed AI-related risk considerations in policies and governance routines.
10. Drive adherence monitoring to AI policies and procedures to ensure compliance with regulatory standards.
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's Degree or an equivalent combination of education and experience.
2. Ten+ years of banking, technology, operations or risk management experience.
3. Experience with AI lifecycle governance and risk assessment methodologies.
4. Knowledge of AI regulatory frameworks and compliance standards.
5. Strong business acumen/knowledge, management experience, problem solving, critical thinking, influencing and decision-making skills.
6. Experience operating independently and navigating ambiguity to deliver value.
7. Excellent interpersonal and communication skills demonstrating the ability to establish credibility with all levels of management effectively.
8. Demonstrated ability to organize and manage complex initiatives and deliver high-quality, executive level work products.
Preferred Qualifications:
1. Advanced degree in a related field (e.g., Computer Science, Data Science, Risk Management).
2. Familiarity with financial services technology-related laws, rules, regulations, and risk management standards (e.g. Federal Financial Institutions Examination Council (FFIEC), Control Objectives for Information and Related Technology (COBIT), Information Technology Infrastructure Library (ITIL)). Familiarity with risk measurement approaches including development of Key Risk Indicators and thresholds and associated reporting and analytics tools (e.g. Tableau). Familiarity with enterprise Governance Risk and Compliance (eGRC) platforms and tools (e.g., RSA Archer) Professional certifications in AI or risk management (e.g., CRISC, CISM).
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