Chief Data & AI Architect - Healthcare Underwriting

Arlo; New York (NY); On-site; USD 280,000 - 380,000; Full time

Job summary

Arlo in New York seeks a Head of Data to own the underwriting system, data pipelines, and the enterprise data layer, driving ML model development and fast decisioning.

You’ll lead a six-person data team, set engineering standards, partner with the Head Actuary, and translate business needs into scalable data solutions that improve care, pricing, and member outcomes. The role requires strong Python skills and production ML experience, with collaboration across actuarial and business units.

Qualifications

• Experience designing enterprise data architectures and deploying ML models in production.
• Proficient Python programming and data orchestration.
• Strong communication to align actuarial and business units.

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.

Skills

Data architecture

Python

ML in production

Data pipelines

Leadership

Cross-functional collaboration

Healthcare data

Tools

SQL

APIs

ETL pipelines

Job description

Arlo in New York seeks a Head of Data to own the underwriting system, data pipelines, and the enterprise data layer, driving ML model development and fast decisioning.

You’ll lead a six-person data team, set engineering standards, partner with the Head Actuary, and translate business needs into scalable data solutions that improve care, pricing, and member outcomes. The role requires strong Python skills and production ML experience, with collaboration across actuarial and business units.