Head of Data (Sr. Director/Executive Director)

About Us: Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology. The company’s platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs. We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions. Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors. The company completed an initial public offering (IPO) in February 2023. With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location. Position Summary: We are seeking a Head of Data (Senior Director or Executive Director) to own the most strategically important technical asset at Structure: the Knowledge System. This is the role that makes Structure’s AI smarter than anything a competitor can buy. Without exceptional data leadership, no AI product delivers differentiated value. You will build and govern the enriched, curated, domain-specific data layer that powers all of Structure’s AI — including ontologies, semantic enrichments, digital twins, and the data pipelines that feed them. You will lead a team of data engineers and data stewards and work in close partnership with the Head of AI Engineering, Head of AI Product, VP of IT, and business unit leads across Clinical, R&D, CMC, Commercial, and G&A. This is a greenfield build with the Crown Jewels at stake: the person who succeeds understands that data infrastructure is a strategic asset, not a utility. What You Will Own The Knowledge System Build and maintain the enriched data layer that powers all AI at Structure. This includes: - Defining and maintaining ontologies and semantic enrichments that make Structure’s data meaningful to AI systems - Building and managing the data catalog — the index of what Structure knows and where it lives - Curating datasets from Clinical, Manufacturing, R&D, and G&A into forms usable for model training and AI inference - Owning the digital twins — simulation models of manufacturing processes, clinical operations, and supply chain — as assets within the Knowledge System Data Engineering for AI Lead a team of data engineers who build and maintain the pipelines that ingest, clean, transform, and deliver data from Structure’s clinical, manufacturing, and research systems into the Knowledge System. These are not generic ETL engineers — they understand the domain context of the data they’re moving. Data Stewardship & Governance Own data quality, documentation, and governance across the AI function’s data assets. Manage data stewards accountable for quality in specific domains (Clinical, CMC, R&D, G&A). Maintain the data catalog and ensure FAIR principles are applied throughout. FAIR Framework Implementation Operationalize FAIR data principles (Findable, Accessible, Interoperable, Reusable) across Structure’s AI data assets — not as an abstract exercise, but as the practical work of making data discoverable, accessible with appropriate controls, consistently formatted, and reusable across multiple AI applications. Data Governance & IP Protection Work with Legal and Compliance to ensure the Knowledge System meets applicable data governance requirements: GxP data classification, access controls for regulated data, IP protection for proprietary discovery data, and compliance with data use agreements. The Knowledge System is the Crown Jewels; the Head of Data is their custodian. Vendor Evaluation — Data Track Build and manage the data environments require…