Associate AI & Data Consultant - Enterprise Data Retention and Disposition

Supports implementation of Enterprise Data Management and Governance Policy requirements, specifically data retention and disposition, across the enterprise, enabling business growth while ensuring compliance with risk and regulatory expectations. The position primarily reviews the execution of data retention and disposition efforts with various business and technology stakeholders. The position is also responsible for ensuring Truist’s compliance with applicable laws, rules, and regulations. 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. • Support the implementation of data governance policies, standards and technology. • Execute processes and procedures to support data standards and control frameworks. • Perform quality reviews of data retention and disposition activities by business units for adherence to established data policies and control frameworks. • Coordinate with Assist in data governance efforts that span across platforms and business/technology areas to address enterprise data needs. • Support Implementation of strategic data governance capabilities by working with business and technology partners to document requirements and create action plans. • Maintain awareness of relevant regulations, industry trends and emerging technologies. • Support the production of metrics to track progress and adherence, escalating as needed to various committees for visibility and program accountability. • Collaborate closely with peer teams to ensure coordination, synergy and seamless overall execution. • Identify and advocate for improvements in enterprise data management practices. • Implements and executes on technical initiatives and solutions. • Adheres to developing AI and data governance standards aligned with organizational goals. • Makes adjustments or recommend enhancements in technical systems and processes to solve somewhat complex technical problems or improve effectiveness of area of responsibility. • Works with technical project teams to provide accurate documentation of data related to project and deliverables. Qualifications Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. • Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education, training, and work-related experience. • Minimum of 3 years of professional experience in AI and data. • Understanding of AI models, data architectures, and analytics methodologies. Preferred Qualifications • Advanced degree in a relevant technical discipline. • Banking or financial services experience, especially within data or technology. • Experience with lifecycle management and/or records management • Experience working in RSA Archer • Understanding of regulatory compliance and data governance frameworks. • Excellent verbal and written communication skills • The ability to follow a project through to completion, and to work as part of a larger team to complete the components of a complex project.