Product Data Architect - Evinova
Core
Design scalable, secure data architectures and models for AI-powered clinical trial products (Study Designer, AI Document Authoring) to enable smarter, connected trials in a regulated environment.
Role type
Senior Product Data Architect
Builds
Data foundations, data models, integration patterns, and pipelines for AI/LLM/RAG-driven digital health solutions
Domain
Health-tech / Life Sciences / Clinical Research / AI & Data
Deliverable
production ML models
Required skills
Data architecture, Data modeling, Python, SQL, NoSQL, ETL pipelines, Data governance, Regulatory compliance (GxP), Product-level impact, Cross-functional collaboration
Preferred skills
LLM/RAG architecture, Vector databases, GxP/CSV validation, Life sciences background, Distributed team leadership, Data stewardship
Technologies
Python, SQL, NoSQL, LLMs, RAG, Vector databases
Responsibilities
Design and evolve data models for AI-native products; Build architectures supporting LLMs and RAG pipelines; Define scalable data flows and integration patterns; Ensure consistency, interoperability, and regulatory alignment; Define metrics and dashboards for data quality; Mentor engineers and set best practices
