Product Data Architect - Evinova

Role Summary

As a Product Data Architect at Evinova, you will shape the data architecture behind our AI-powered products, including Study Designer and AI Document Authoring. You’ll design scalable, secure, and high-quality data solutions that enable smarter, more connected clinical trials.

What You’ll Do

• Shape Data Architecture for AI-Powered Products
• Design and evolve data models that power our AI-native products
• Build and guide architectures supporting LLMs, generative AI, and RAG pipelines
• Define scalable data flows, integration patterns, and interfaces across products
• Establish reusable data patterns to support long-term product growth
• Ensure Quality, Compliance, and Scalability
• Drive consistency and interoperability across our product ecosystem
• Align data architecture with regulatory and enterprise standards (including GxP)
• Support data governance practices like access, retention, and auditability
• Identify risks and continuously improve data architecture and performance
• Use Data to Drive Better Decisions
• Define metrics and dashboards to monitor data quality and system health
• Turn insights into actionable improvements for product and engineering teams
• Promote a strong data quality mindset across teams
• Collaborate and Deliver Across Teams
• Partner with Product and Engineering to bring scalable data solutions to life
• Work closely with global teams and external partners to guide implementation
• Stay hands-on when needed—supporting design, troubleshooting, and delivery
• Lead and Elevate Data Excellence
• Mentor engineers and help set best practices for data architecture
• Contribute to a shared vision across teams and geographies
• Help define how data supports AI-driven product innovation at scale

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field
• 8+ years of experience in data architecture, data engineering, or platform architecture roles
• Proven experience owning data architecture for complex products or product suites
• Strong experience in data modeling and data design
• Proficiency in Python
• Experience working with SQL and NoSQL databases
• Hands-on experience building and managing ETL processes and data pipelines
• Demonstrated ability to make architectural decisions with product-level impact
• Strong collaboration skills with Product and Engineering teams
• A data-driven mindset, with experience defining metrics and using insights to guide decisions

Preferred Qualifications

• Experience architecting data layers for AI/ML-powered products — especially LLM pipelines, RAG architectures, vector databases, or embedding strategies.
• Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
• Background in life sciences, health-tech, or clinical-trial technology.
• Experience working with geographically distributed teams and external vendor squads.
• Experience operating within a Data Owner / Data Steward governance model.
• Experience defining reference architectures reused across multiple products.
• Prior experience mentoring senior engineers or architects.