Product Data Architect Evinova

WHY JOIN US

Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise evidence-led rigor and deep human insight we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare technology data and analytics we are helping unlock the full potential of digital health transforming how clinical research is conducted how care is delivered and how patients experience healthcare. Our solutions are built to scale driving efficiency improving decision-making and ultimately delivering better outcomes for patients worldwide.

At Evinova we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges continuously learning and evolving in a fast-paced high-impact environment.

We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration employees are expected to work from the office three days per week creating opportunities for in-person teamwork innovation and meaningful connection.

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. Youll design scalable secure and high-quality data solutions that enable smarter more connected clinical trials.

Working closely with Product and Engineering teams youll define data models integration patterns and standards that support both current delivery and future innovationespecially across AI LLM and RAG-driven capabilities in a regulated environment.

This is a high-impact role where youll help build the data foundations that power the next generation of digital health solutions.

What Youll 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 neededsupporting 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
  

What Success Looks Like:

• Data models and interfaces are clear scalable and widely adopted across teams

• Product teams move faster with fewer data-related blockers or rework

• Data architecture evolves seamlessly as products AI capabilities and usage grow

• LLM and RAG pipelines are reliable transparent and meet both technical and regulatory standards

• You are seen as a trusted partner by Product and Engineering leadership

Required Qualifications

• Bachelors 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.

SO WHATS NEXT

To be considered for this exciting opportunity please complete the full application on our website at your earliest convenience it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit please share this posting with them.

Where can I find out more

• Explore what were building:
• Stay connected and see our impact in action: today to bring smarter faster clinical trials to life!

  Evinova is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. Evinova is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.

  #LI-Hybrid

  The annual base pay for this position ranges from $165656.80 - $ 217424.55 pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and experience.

  In addition our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans.

  Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay(as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

  Date Posted

  31-Mar-2026

  Closing Date

  30-Mar-2026

  Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.