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. Strategic Leadership - Develop and maintain the enterprise-wide data risk management framework, incorporating emerging risks related to data and AI. Establish risk appetite statements, key risk indicators, and thresholds for data risk across the organization. Provide independent assessment and challenge of technology initiatives, ensuring alignment with risk appetite and regulatory expectations. Lead the evaluation of strategic technology decisions and their impact on the organization’s data risk profile.
2. CDO Risk Leadership - Provide independent risk oversight (i.e., second line of defense/LOD2) for Truist Enterprise AI and Data through the effective identification, mitigation, monitoring and reporting of operational, technology, data, and compliance related risks within Enterprise Data. This role includes independently challenging LOD1 self-assessments and proving effective challenges of Enterprise Data function to ensure execution across all applicable risk types remain within our stated risk appetite. Additionally, this role is responsible for integrating and aligning all cybersecurity risk with business unit risk, controls and assessments. Work in conjunction with other Risk Oversight Officers (RCSA, IRM, MRMD etc.) to ensure a common set of requirements in establishing a comprehensive risk management approach & transparent decision making and prioritization of technology activities.
3. Governance and Oversight - Serve as a non-voting member of the first line-owned Technology, Data and Operations risk committee, a voting member of the CIRO led risk committee and actively participate in the Enterprise and Board Risk Committees (BRC)). This includes (a) reviewing and effectively challenging data and AI risk policies, standards, and procedures, (b) overseeing the assessment and monitoring of critical technology vendors and third-party service providers, and © ensuring compliance with regulatory requirements and supervisory guidance related to technology and data risk.
4. Risk Assessments - Define, communicate, and drive the Enterprise Data and AI Risk Framework and direct the assessment of data management, data privacy, data protection, data resiliency and AI. Provide independent assessment and oversight of the maturity of technology and adequacy of technology controls in meeting agreed to business outcomes for performance, stability, security and service availability. Assessments should leverage agreed upon metrics produced by Business Units (LOD1), but challenge and validated as appropriate.
5. Risk Continuous Monitoring - Oversee the evaluation of technology strategy and operations (including artificial intelligence (AI) and machine learning) for potential risks and biases. Furthermore, monitor technology projects portfolios, developmental methodologies, and progress on project milestones. Review of significant technology incidents, related to data, and direct remediation efforts. Using monitoring routines to identify emerging risk and/or consider accelerate risk reviews of data policies/standards, business processes or control assessments.
6. Risk Reporting - Design the standard recurring reporting packages for Enterprise Data to support ongoing reporting of identification, mitigation, monitoring of material risks. These reporting packages will be used for internal discussions and/or governance reporting.
7. Regulatory Engagement Oversight - Serve as the primary risk point of contact with regulators on data and AI risk matters. This includes presenting regular risk assessments and updates to external stakeholders and collaborating with Truist Audit Services (TAS) / external auditors on data audits. Additionally, this role should provide effective challenge and validation procedures on all data regulatory remediations where management actions are being reviewed and validated for closure.
8. Talent Management - Lead, manage and develop teammates directly and indirectly. Leverage industry insights to influence enterprise technology talent management through recommendations to Truist senior leadership to inform decisions on resource allocations (both competence and capacity). Where needed, encourage, and facilitate Technology Risk education series, skills training, and industry participation in conference to elevate competence of the risk teammates and enable risk management to meet its objectives of maintaining a strong stature and influence with the company.
9. Risk Culture - Promote the culture of Risk Management across the organization by empowering risk teammates to embrace leadership direction, identify risk exposure in everyday operations and champion improving the enterprise programs for building a sustainable business model, meeting the objectives outlines by leadership and the Board of Directors.