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Regular or Temporary:

Regular

**Language Fluency:** English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

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.

This position reports to the Head of AI Risk Oversight. This position will also work closely with the first line Enterprise Data, AI & Analytics (EDA) to effectively plan, synchronize activities, and deliver against the top Program priorities, 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.

4. Develop detailed project plans and timelines to deliver program scope, objectives, and deliverables to achieve business outcomes that balance business growth and risk management objectives.

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.

Qualifications

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).

**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site (https://benefits.truist.com/)

. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._

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