High School with 6 years (or commensurate experience)
Proven experience coordinating data governance, data quality management, or AI compliance frameworks within an enterprise software development or analytics environment.
Experience managing complex schedules involving data pipelines, data profiling, model metadata management, or user acceptance testing (UAT) for data/AI assets.
Comprehensive operational understanding of Agile methodologies, modern software delivery lifecycles (SDLC), and how data governance integrates into MLOps/DevSecOps pipelines.
Proficiency tracking data assets, AI workflows, and task dependencies using enterprise tools (such as Jira, Azure DevOps, ServiceNow, Collibra, or Git-based environments).
Strong foundational understanding of diverse data management concepts, data architecture principles, and the fundamentals of machine learning lifecycles.
Clearance Required: Public Trust