AI Readiness/Embedded Governance Strategy Lead
On-siteAtlanta, Georgia, United States or Charlotte, North Carolina, United States
Job Summary
Oversee data architecture for specific business units by defining conceptual, logical, and physical data models and instituting standardized methodology across teams. Partner with technology and business groups to architect solutions for audit controls, regulatory requirements, and self-identified issues while managing application inventory against data architecture standards. Provide data architecture review and approval within the Architecture Review Board and model governance committee, translating requirements into technical implementations and designing proof-of-concept prototypes. Stay current on emerging technologies to integrate new practices into Truist's evolving data platforms and AI/ML processes.
Required Qualifications
- Undergraduate degree in either computer science, analytics, data engineering, finance or equivalent degree
- At least 10 years of experience driving enterprise architecture, solution architecture, data architecture, data strategy, data execution, data engineering or software delivery
- Previous experience in defining, building and executing on an enterprise data management and governance program
- Expert problem solving skills and being able to define detailed strategies
- Expert in enterprise architecture, solution architecture and data architecture
- Expert in solution designs based upon business requirements
- Experience in meeting regulatory obligations and operating in a highly regulatory environment
- English (Required)
- 1st shift (United States of America)
Desired Qualifications
- Experience leading AI readiness, data governance, data quality, lineage, and metadata management initiatives
- Proven ability to embed governance, controls, and risk management into business processes and data product lifecycles
- Experience partnering across Business, Technology, Risk, Compliance, Audit, and Data & Analytics organizations
- Knowledge of AI/ML, Generative AI, Responsible AI, and model governance practices in regulated environments
- Experience implementing data product operating models, business ownership frameworks, and stewardship programs
- Strong executive communication, influence, and organizational change leadership skills
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