Leads the acquisition, integration, modeling, and development of data analytics products. Designs data lake and warehouse solutions, builds ETL pipelines, applies engineering and CI/CD practices, supports analytics and machine learning applications, and ensures data quality and regulatory compliance. Collaborates with technical and business stakeholders, contributes to agile delivery, leads code reviews, mentors junior engineers, and develops enterprise data flows that establish a reliable source of truth.

Leads complex quantitative and qualitative analysis for Claims Leadership, producing forecasts, reports, dashboards, KPI frameworks, and actionable recommendations. Analyzes multiple data sources, identifies trends and root causes, supports strategic decisions, documents processes, and consults with cross-functional partners. Coaches peers on analytical methods and applies statistical research, visualization, and data storytelling techniques to improve business outcomes.

Coordinates field research projects from intake through delivery, tracking timelines, deliverables, and stakeholder communications. Maintains research repositories, knowledge-management systems, field research panels, and insight-sharing processes. Uses AI, Power BI, Qualtrics, and Jira to improve discoverability, workflow efficiency, and research operations. Partners cross-functionally on custom and community research, process improvements, and connecting findings across studies to support strategic, insight-led decisions.