Product Data Architect - Evinova
About The Position
Evinova is a health-tech business advancing digital transformation across the life sciences sector. It develops digital solutions intended to improve clinical research, care delivery, and patient experiences. Employees are expected to work from the office three days per week to support in-person collaboration. The Product Data Architect will shape the data architecture behind Evinova’s AI-powered products, including Study Designer and AI Document Authoring. The role designs scalable, secure, high-quality data solutions and defines data models, integration patterns, and standards that support current products and future innovation, particularly AI, LLM, and RAG capabilities in a regulated environment. The architect partners with Product and Engineering teams, supports implementation and delivery, and helps establish data foundations for digital health solutions. The role also promotes data quality, governance, consistency, interoperability, and compliance with regulatory and enterprise standards, including GxP. It contributes to metrics and dashboards for data quality and system health, mentors engineers, and helps establish reusable architecture practices across teams and geographies.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field.
- At least 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, including experience defining metrics and using insights to guide decisions.
Nice To Haves
- 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.
Responsibilities
- Design and evolve data models for AI-powered 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.
- Drive consistency and interoperability across the product ecosystem.
- Align data architecture with regulatory and enterprise standards, including GxP.
- Support data governance practices, including access, retention, and auditability.
- Identify risks and continuously improve data architecture and performance.
- Define metrics and dashboards to monitor data quality and system health.
- Use insights to guide actionable improvements for product and engineering teams and promote a data quality mindset.
- Partner with Product and Engineering teams to deliver scalable data solutions.
- Work with global teams and external partners to guide implementation.
- Provide hands-on support for design, troubleshooting, and delivery when needed.
- Mentor engineers and help set data architecture best practices.
- Contribute to a shared vision across teams and geographies for data-enabled AI product innovation.
Benefits
- Short-term incentive bonus opportunity.
- Eligibility to participate in an equity-based long-term incentive program.
- Qualified retirement program (401(k) plan).
- Paid vacation and holidays.
- Paid leaves.
- Medical, prescription drug, dental, and vision coverage, subject to applicable plan terms and conditions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
