Consultant, Auto Product Strategy

Responsibilities

• Drive the development and scaling of continuous monitoring and anomaly detection capabilities to reduce programmatic risk across the Auto portfolio.
• Improve data accuracy and early issue detection across rating programs, key business metrics, and Auto program results.
• Build scalable monitoring processes, tools, dashboards, and analytical frameworks that support future-state portfolio monitoring and program-level analysis.
• Reduce manual effort and response time through automation, improved reporting, and cross-functional coordination.
• Support program-level monitoring for Personal Lines Auto pricing programs by analyzing key metrics, identifying emerging trends, and assessing whether results are performing as expected.
• Query, manipulate, and analyze large datasets to investigate anomalies, identify root causes, and communicate actionable insights to technical and non-technical audiences.
• Partner with teams across USDS, the Data Office, IT, Risk Analytics, Underwriting, State Management, and other business areas to identify issues, coordinate solutions, and improve monitoring effectiveness.
• Provide timely updates and recommendations to stakeholders on monitoring results, data quality, program performance, and emerging risks.

Qualifications

• Strong analytical, problem-solving, and decision-making skills, with the ability to identify patterns, investigate root causes, and develop practical recommendations.
• Proficient in SQL, Power BI, Excel, PowerPoint, and Snowflake.
• Experience with Python and GitHub preferred.
• Experience building dashboards, reporting tools, analytical frameworks, and repeatable processes.
• Ability to communicate complex analytical findings clearly and effectively to technical and non-technical audiences.
• Strong planning, organizational, analytical, decision-making, and communication skills.
• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation preferred.