AI Risk Specialist

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Regular or Temporary:
Regular

Language Fluency:
English (Required)

Work Shift:

1st shift (United States of America)

The AI Risk 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.

• Provide independent risk oversight (i.e., LOD2) for Truist Technology and Truist Business Units through effective identification, mitigation, monitoring and reporting of transverse AI risk (e.g., technology, data, operational, compliance) within Enterprise Technology.
• Serve as a subject matter expert and steward of the AI Risk Framework to identify, report and mitigate AI risks.
• Execute independent assessment and oversight of the maturity and adequacy of AI controls to achieve business outcomes that balance growth and risk management objectives.
• Strengthen and sustain proactive risk culture through effective risk-focused management and partnership routines with risk teams and internal partners.
• Review and challenge outcomes of first line-of-defense (i.e., LOD1) risk program execution.
• 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.
• Contribute to complex efforts with broad people, process and technology impacts and implications.
• Use acumen and skills to effectively bridge business, technology and control functions seamlessly; pivot quickly between advisory consultant and effective challenge roles.
• Monitor adherence to AI policies and procedures to ensure compliance with regulatory standards.
• Evaluate AI Use Cases in partnership with other risk SMEs, categorizing them based on their risk levels.
• Maintain assessment tools and approaches for measuring and monitoring AI-related risks.

Required Qualifications:

• Bachelor's Degree or an equivalent combination of education and experience.
• Five+ years of banking, technology, operations or risk management experience.
• Experience with AI lifecycle governance and risk assessment methodologies.
• Knowledge of AI regulatory frameworks and compliance standards.
• Strong business acumen / knowledge, management experience, problem solving, critical thinking, influencing and decision‑making skills.
• Experience operating independently and navigating ambiguity to deliver value.
• Excellent interpersonal and communication skills demonstrating the ability to establish credibility with all levels of management effectively.
• Demonstrated ability to organize and manage complex initiatives and deliver high‑quality, executive‑level work products.

Preferred Qualifications:

• Advanced degree in a related field (e.g., Computer Science, Data Science, Risk Management).
• Familiarity with financial services technology‑related laws, rules, regulations and risk management standards (e.g., FFIEC, COBIT, 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 401(k) plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full‑time or…