Product Data Architect - Evinova
Core
Design scalable, secure data architectures and models for AI-powered clinical trial products, enabling smarter data flows and integration in a regulated environment.
Role type
Senior Product Data Architect
Builds
AI-native clinical trial platforms (Study Designer, AI Document Authoring) and data pipelines for life sciences
Domain
Health-tech / Clinical Research / AI & Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data architecture, data modeling, Python, SQL, NoSQL, ETL/pipeline management, regulatory compliance (GxP), system design
Preferred skills
LLM/RAG architecture, vector databases, embedding strategies, Data Owner/Steward governance, mentoring senior engineers
Technologies
Python, SQL, NoSQL, LLMs, RAG, vector databases
Responsibilities
Design and evolve data models for AI-native products; Build architectures supporting LLMs, generative AI, and RAG pipelines; Define scalable data flows and integration patterns; Drive consistency and interoperability across the product ecosystem; Define metrics and dashboards to monitor data quality; Mentor engineers and set best practices for data architecture
Seniority
Senior, hands-on IC with mentorship responsibilities
