Principal Technical Product Manager, Data Platform
Core
Lead the end-to-end data platform for AI Simulation's scientific discovery, managing data ingestion, lineage, and governance for drug discovery and materials design.
Role type
Senior individual contributor Technical Product Manager (Data Platform)
Builds
Data platform enabling ingestion, auto-detection, schema reconciliation, and federated data sharing for BioSim and ChemSim applications.
Domain
Life sciences / Materials research / Data infrastructure
Deliverable
production ML models | product features
Required skills
Data platform product management, ETL/ELT pipelines, data catalogs, provenance/lineage tracking, developer-facing data APIs, data governance controls
Preferred skills
Scientific data formats (HDF5, SDF, CSV, JSON-LD), federated learning, regulated data governance (HIPAA, FedRAMP, GDPR, SOC 2, GxP), audit/evidence-export workflows, drug-discovery lifecycle
Technologies
HDF5, SDF, CSV, JSON-LD, ETL/ELT, data catalogs
Responsibilities
Define and own the Data Platform roadmap across ingestion, auto-detection, schema reconciliation, and lineage; Own the CRO and lab-partner ingestion-template product and the auto-matching UX; Drive dataset-level provenance, sensitivity tagging, and field-of-use governance; Design experiment-integration API schemas in partnership with BioSim and ChemSim teams; Own the federated data-management product that enables IP-safe data sharing across partners; Define and track metrics including time-to-usable per dataset, auto-match accuracy, and lineage completeness
Seniority
Senior, hands-on IC
