AI Risk Senior Specialist

** The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.*
* Need Help? ( site FAQ-.pdf)

_If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to_  Accessibility ()

_(accommodation requests only; other inquiries won't receive a response)._

** Regular or Temporary:*
* Regular

** Language Fluency:
** English (Required)

*
* Work Shift:

*
* 1st shift (United States of America)

** Please review the following job description:*
* The AI Risk Senior Specialist will be responsible for maintaining and monitoring adherence to AI policies and procedures, conducting risk tiering, ensuring compliance with regulatory frameworks and providing independent risk oversight to one or more domains. This role involves collaborating with various departments to manage AI-related risks effectively and support the organization's AI governance initiatives.

** 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. Provide independent risk oversight (i.e. LOD2) for Truist Technology and Truist Business Units through the effective identification, mitigation, monitoring and reporting of transverse AI risk (e.g., technology, data, operational, compliance) within Enterprise Technology.

2. Serve as a subject matter expert and steward of the AI Risk Framework to identify, report and mitigate AI risks.

3. Execute independent assessment and oversight of the maturity and adequacy of AI controls to achieve business outcomes that balance business growth and risk management objectives.

4. Strengthen and sustain proactive risk culture through conducting effective risk focused management and partnership routines with risk teams and internal partners. Interface with senior leaders and key partners across the organization.

5. Review and challenge outcomes of first line-of-defense (i.e., LOD1) risk program execution.

6. 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.

7. Lead complex efforts with broad people, process and technology impacts impact and implications. Provide informal leadership to others in a matrixed environment.  Serves as an AI Risk SME on complex solutions.

8. Use acumen and skills to effectively bridge business, technology and control functions seamlessly. Pivot quickly between advisory consultant and effective challenge roles.

9. Monitor adherence to AI policies and procedures to ensure compliance with regulatory standards.

10. Evaluate AI Use Cases in partnership with other risk SMEs, categorizing them based on their risk levels.

11. Drive improvement in assessment tools and approaches for measuring and monitoring AI-related risks.

** 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)).

3. Familiarity with risk measurement approaches including development of Key Risk Indicators and thresholds and associated reporting and analytics tools (e.g. Tableau).

4. Familiarity with enterprise Governance Risk and Compliance (eGRC) platforms and tools (e.g., RSA Archer) Professional…