Product Data Architect - Evinova
AstraZeneca
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. Working closely with Product and Engineering teams, you'll define data models, integration patterns, and standards that support both current delivery and future innovation—especially across AI, LLM, and RAG-driven capabilities in a regulated environment.
Job description
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. Working closely with Product and Engineering teams, you'll define data models, integration patterns, and standards that support both current delivery and future innovation—especially across AI, LLM, and RAG-driven capabilities in a regulated environment.
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
Requirements
- 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
Benefits
- 401(k) Matching
- Paid Vacation
- Paid Holidays
- Paid Leaves
- Medical, Dental & Vision
- Prescription Drug Coverage
- Short-term Incentive Bonus
- Equity-based Long-term Incentive
Company overview
AstraZeneca is a global, science-led, patient-focused pharmaceutical company dedicated to accelerating the delivery of life-changing medicines that create enduring value for patients, society, and shareholders. With a workforce of over 94,300 employees worldwide, the company operates across three core therapy areas: Oncology, BioPharmaceuticals (including Cardiovascular, Renal & Metabolism, Respiratory & Immunology), and Rare Disease. Headquartered in Cambridge, UK, AstraZeneca maintains strategic R&D centers in Cambridge, Gaithersburg (US), Boston (US), Gothenburg (Sweden), Shanghai, and Beijing. The company generated $54.1 billion in total revenue in 2024 and invested $13.6 billion in scientific research and development. AstraZeneca's bold aspiration is to be pioneers in science, lead in disease areas, and transform patient outcomes, with a goal to launch 20 new medicines and achieve $80 billion in total revenue by 2030. The company is recognized for its commitment to sustainability, health equity, and creating an inclusive work environment where diverse perspectives drive innovation.