Head of Data Infrastructure & Ontology

Recruiting From Scratch • New York, NY

7h • $175,000 - $225,000 • Onsite

About The Position

We’re building an AI-native health insurance platform designed to fundamentally improve how people experience healthcare. Today’s system is expensive, confusing, and reactive—often causing people to delay care. Our mission is to reimagine what a health plan should be: a proactive partner that helps members navigate benefits, access care, and make confident financial decisions. Our platform combines advanced data infrastructure, machine learning, and real-time decisioning to deliver personalized, continuous support for members. We are scaling rapidly, serving tens of thousands of people and seeing accelerating demand across employers, brokers, and partners.

The Opportunity
We’re hiring a Head of Data Infrastructure & Ontology to architect, own, and scale the data systems that power our core products and decision-making. This is a highly impactful leadership role with full ownership over mission-critical data infrastructure, responsible for transforming fragmented healthcare and financial data into clean, intelligent, and automated systems. You’ll play a central role in shaping how an AI-native insurer operates at scale.

Requirements

• Bachelor’s degree in Computer Science or a related field
• 5–7 years of industry experience
• Strong understanding of statistics, ML concepts, and database fundamentals
• Experience with large-scale data tools (e.g., Spark, Pandas, AWS, Postgres)
• Proven ability to architect and build scalable data pipelines and models
• Highly hands-on engineering mindset—you enjoy building, not just reviewing
• Ability to quickly develop deep domain expertise
• Strong organizational, communication, and leadership skills
• Experience operating in fast-paced, high-ownership environments

Nice To Haves

• Experience at an early-stage startup
• Prior work with healthcare or insurance data (claims, underwriting, actuarial, TPA feeds)
• Familiarity with reasoning models, LLMs, or MLOps practices
• Experience working with sensitive healthcare or financial datasets
• Background building data products for pricing, risk, or reporting

Responsibilities

• Own the end-to-end data infrastructure , from ingestion and modeling to analytics and real-time decision support.
• Architect and scale data systems supporting underwriting, pricing, and financial operations .
• Transform complex inputs (claims data, rates, census files, TPA feeds, partner data) into clean, reliable, automated pipelines .
• Design and maintain core data models and source-of-truth tables powering reporting, high-cost claimant identification, case management signals, and partner deliverables.
• Standardize ingestion processes across internal systems, TPAs, carriers, and external partners.
• Enable intelligence across the business through abstractions, automation, and reasoning layers.
• Partner closely with engineering, data science, underwriting, operations, and product teams to ensure consistency, governance, and data quality.
• Provide hands-on technical leadership while setting standards for performance, reliability, and scalability.

Benefits

• High ownership: Real responsibility from day one in a high-trust environment
• Meaningful mission: Your work directly improves how people access and experience healthcare
• Rapid growth: Expanding scope, new challenges, and strong career velocity
• AI applied to a real problem: Use advanced data and ML to modernize a trillion-dollar industry
• High pace, high collaboration: Operate with speed, first-principles thinking, and close cross-functional teamwork

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level