Build AI-powered finance applications using Databricks, Python, LLMs, and governed financial data. Develop tools for variance commentary, financial close checklists, reconciliation, FP&A, natural-language data exploration, and financial analysis. Partner with finance stakeholders, measure adoption and productivity gains, and maintain governance separating AI recommendations from financial controls. The role requires software engineering, finance process knowledge, and experience with Databricks, LLM applications, finance systems, and production-ready applications.

Leads enterprise digital adoption, systems learning, and workforce enablement across clinical, financial, HR, collaboration, and corporate platforms. Manages two learning advisors, establishes learning governance, oversees implementation and release enablement, develops role-based training and performance support, measures adoption and proficiency, and partners with cross-functional stakeholders on global system rollouts and regulated training.