Principal Analyst, Data Integration

At H1 , we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. The Data & Research team is responsible for the end-to-end lifecycle of H1's data — from source acquisition and onboarding through normalization, entity resolution, and product delivery. Working closely with Engineering, Product, and client-facing teams, this group ensures that every data source H1 adds is evaluated rigorously, integrated accurately, and delivered in a way that creates real value for the healthcare and life sciences organizations that rely on our platform. WHAT YOU'LL DO AT H1 As a Principal Analyst, Data Integration, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. This is a senior IC role at the intersection of data, engineering, and product — the connective tissue between raw data acquisition and what ultimately ships to clients. You will work across Data & Research, Engineering, and Product to define what a new source is, how it maps to H1's schemas, what it can realistically deliver, and what it can't. You will also work directly with client-facing teams to gather requirements before integration decisions are made, translating commercial needs into data specs and data constraints back into product expectations. You will: - Lead structured evaluation of new data sources from scratch — assessing schema, coverage, freshness, legal constraints, and fit against H1's product needs before any engineering work begins - Own field mapping from source to H1's bronze/silver/gold layers, producing data dictionaries, entity definitions, and structural guidance for downstream teams - Partner with engineering and Data Lake to define ingestion requirements, entity resolution rules, and refresh cadences for new sources - Gather requirements from client-facing teams and translate them into integration specifications; serve as the authoritative voice on what a new source can and cannot deliver before product commitments are made - Shepherd each source end-to-end: scoping → QA → entity matching → product launch, including product QA and communicating source capabilities and limitations to product and enablement partners - Work with the Insights team to develop new taxonomies and QA mechanisms for novel data types - Define acceptance criteria and lead QA validation including field-level fill rates, count comparisons, and cycle-over-cycle anomaly detection - Investigate and resolve data quality issues post-integration, coordinati