Applies comprehensive understanding of how the organization operates to solve issues that have accounting and financial reporting implications. Uses advanced analytical thought to exercise judgment and identify innovative solutions. Leads teams or projects with significant risk and complexity and mentors other teammates to develop their technical expertise. Works independently with guidance in only the most complex and unusual situations.
Design, build, and execute the AI/ML and GenAI platform strategy aligned to enterprise architecture, security, and risk standards.
Own the engineering and lifecycle management of AI/ML platform components (e.g., development workspaces, training/inference patterns, model registry, feature storage patterns, experiment tracking, prompt/version management, retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization.
