Recruiting from Scratch · 1 day ago
Head of Data Infrastructure & Ontology
Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. They are hiring a Head of Data Infrastructure & Ontology to architect, own, and scale the data systems that power their core products and decision-making, transforming fragmented healthcare and financial data into clean, intelligent, and automated systems.
Staffing Agency
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
Qualification
Required
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
Preferred
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
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
Company
Recruiting from Scratch
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware.
Funding
Current Stage
Early StageRecent News
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