Build and operate automated data quality checks, monitoring, alerting, and dashboards; integrate quality into data pipelines and governance tooling; automate anomaly detection and support auditors, analysts, and stewards to surface issues in near-real-time.

Own M&A transaction modeling and diligence and alternate into recurring FP&A: monthly reporting, cash forecasting, lender/covenant reporting, integration tracking, and capital allocation analysis for a B2B SaaS business.