Head of Data & Machine Learning

Arlo is a company focused on rebuilding health insurance for small businesses using innovative technology. The Head of Data & Machine Learning will own the underwriting system, driving improvements and ensuring data quality while leading a team responsible for data engineering and machine learning initiatives.

Responsibilities:

• Own the data pipelines & system end to end: data ingestion, model training & inference, and serving results via API to our quoting frontend and manage the underlying infrastructure
• Work closely with Sean Chin, Head Actuary, to translate business and actuarial priorities into scoped, executable work for the data team
• Drive continuous improvement of the underwriting model: monitor for model drift, build evaluation infrastructure, and ensure the system stays accurate as Arlo’s book of business grows
• Improve iteration speed across the underwriting pipeline so the team can test, adjust, and deploy faster
• Hold the technical bar across the data function: set engineering standards and establish clear practices for how the team collaborates, documents, and ships
• Build and maintain Arlo’s core data ontology — integrate data from across the organization into a clean, well-governed layer that can serve use cases including underwriting, care management, care navigation, claims adjudication, etc
• Ingest data from multiple sources and build the monitoring systems that keep data quality high
• Directly manage a team of six; serve as technical lead for the data science team — providing code review, architectural guidance, and the standard they build toward