Arlo · 1 month ago
Head of Data Infrastructure & Ontology
New York, NY
Full-time
Onsite
Lead/Staff, Director/Executive
$175K/yr - $225K/yr
5+ years expArlo is a company focused on transforming the health insurance experience using AI. They are seeking a Head of Data to own and scale their data infrastructure, ensuring it supports real-time decision-making and enhances the company's core products.
Health CareHealth InsuranceInsurance
Responsibilities
Own Arlo’s end-to-end data infrastructure — from ingestion to modeling to analytics — ensuring it is scalable, reliable, and supports real-time decision-making across the business
Lead the evolution of our underwriting, pricing, and financial data systems, transforming complex inputs (claims, rates, census data, TPA feeds) into clean, trustworthy, and automated pipelines
Design and maintain Arlo’s core data models and “source of truth” tables that power reporting, high-cost claimant identification, case management signals, and partner-facing deliverables
Build and standardize data ingestion processes for internal and external data sources, including multiple TPAs, carriers, and partner systems
Enable intelligence across the organization by creating abstractions, automations, and reasoning layers that enhance pricing, renewals, cost containment, and care navigation
Collaborate closely with engineering, underwriting, data science, operations, and product to drive data consistency, governance, and visibility across teams
Provide technical leadership and hands-on execution, setting standards for quality, performance, and reliability in a rapidly scaling environment
Qualification
Required
BSc in Computer Science or related field
5-7 years of industry experience
Strong understanding of statistics, ML concepts, and database fundamentals
Experience with large-scale data tools (Spark, Pandas, AWS, Postgres)
Demonstrated ability to architect & build robust pipelines and scalable data models
High hands-on engineering ability—you enjoy building, not just reviewing
Ability to rapidly acquire deep domain expertise
Strong organizational and leadership skills
Experience working in fast-paced, high-ownership environments
Preferred
Experience at an early-stage startup or in health insurance data (claims, underwriting, actuarial, TPA data, etc.)
Familiarity with reasoning models, LLMs, and MLops practices
Background working with sensitive financial or healthcare datasets
Experience building data products for pricing, risk, or reporting
Benefits
Equity
High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company.
Join an important mission: Your work directly influences how people access care and improves lives at scale.
Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity.
Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare.
High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition.
Company
Arlo
Join hundreds of businesses who trust Arlo to offer health insurance that works the way it should: affordable coverage that puts employees and their doctors in the driving seat.
11-50 employees
H1B Sponsorship
Arlo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (15)
2023 (9)
2022 (8)
2021 (19)
2020 (6)
Funding
Current Stage
Early StageTotal Funding
$4MKey Investors
Upfront Ventures
2025-03-25Seed· $4M
Leadership Team
Karthik Bhaskara
Co-Founder
Recent News
EIN Presswire
2025-10-28
Venture Capital Firms
2025-03-27
citybiz
2025-03-26
Company data provided by crunchbase