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About the Role

Arlo is rebuilding health insurance for small businesses by making sure as much of every premium dollar as possible goes to care instead of the system around it. We use AI across underwriting, operations, clinical programs, and member experience to build a more efficient insurer. As Head of Data, you will own Arlo’s critical engineering infrastructure: the underwriting system that prices risk and drives growth and profitability. You will translate business and modeling priorities into data team initiatives, make architectural decisions, and lead the data engineering and data science team.

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.

Requirements

Designed enterprise wide data architecture and systems that deploy ML models in production.
Care about injecting data into operational workflows and powering the core of a company’s business and not being an ancillary function.
Understand the importance of a clean data model.
Write Python, configure clusters, and stay close to the work rather than delegating the hard calls away.
Worked with health care data before and understand the nuances of medical claims, diagnosis codes, procedure codes, etc.
Balance good engineering standards with the right business needs.
Clear communication skills are important to be able to coordinate with the actuarial team and other business units, understand their requirements and partner closely with the teams who will be the users of your work.

Skills

Python
Data Engineering
Data Science
Machine Learning
API
Data Ontology
Data Ingestion
Model Training
Model Inference
Backtesting
SQL

Location

Remote

Work Type

Full-time

Experience Level

Head of Data
Technical Leadership

Salary/Compensations

Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process.

Benefits

High ownership
Real responsibility from day one
High-trust team empowers you to run with big problems and shape core parts of the company
Join an important mission
Work directly influences how people access care and improves lives at scale
Growth & expansion
New challenges, bigger opportunities, and rapid career velocity
Apply AI to a problem that matters
High pace, high collaboration
Velocity, first-principles thinking
Team that works closely, openly, and with ambition

About the Company

Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it.
We use AI across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves.
We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners.
Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators.

Equal Opportunity

Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.