John Mccarthy

Directing transition to a modern data stack (Snowflake, dbt, Power BI) and establishing governance and single-source-of-truth standards to improve people and operational reporting. Transformed BI into a strategic partner focused on automation and high-value insights aligned with executive strategy.

Established an internal AI consultancy and deployed Azure AI agents to resolve operational bottlenecks while designing experimentation frameworks to measure ROI and adoption for enterprise tools. Architected migration to Azure Databricks to enable real-time stakeholder insights.

Managed a $5M budget and 18-person team to implement AI program management and LSTM forecasting models that improved forecast accuracy by 10%, informing labor planning and supply chain staffing. Unified KPIs across Finance, Ops, and Marketing to drive accountability.

Led a 14-person team to develop predictive occupancy and staffing models, improving forecast accuracy from 88% to 92% and optimizing labor budgets; centralized reporting into Power BI, reducing application costs by $1.2M.

Re-engineered backend workflows to cut quote times from 30 minutes to 5 minutes and applied TensorFlow autoencoders to detect anomalies across 5+ million records, improving fraud team efficiency by 200%.

Automated manual allocation processes to reduce administrative headcount by 25% and built compliance monitoring tools that increased adherence from 60% to 85%.

Completed a Bachelor of Science in Business Administration with an emphasis in Information Technology, covering IT management, systems, and analytics.