Leads business intelligence and operations analytics for frontline, backline, workforce management, and customer experience teams. Builds scalable Tableau reporting frameworks, defines KPIs and data requirements, analyzes operational datasets, and performs root-cause investigations. Translates findings into recommendations for process improvement, workforce planning, and member experience. Partners with engineering, product, data science, and business leaders while using AI tools to accelerate analytics and mentoring junior analysts.

Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.