Associate Director, Enterprise Information Architecture

BeOne

Warsaw, Poland
Base: 289,800.00 pln - 362,300.00 pln; bonus/equit...
Hybrid
8+ years data architecture experience
Life sciences or pharmaceutical industry background
Clinical development and r&d data domains
This role partners with the Senior Director to scale the Enterprise Information Architecture capability and deliver trusted data products for R&D and enterprise decision-making

Job Summary

  • This role partners with the Senior Director to scale the Enterprise Information Architecture capability and deliver trusted data products for R&D and enterprise decision-making.
  • The ideal candidate will operationalize architecture standards across Clinical Operations, Safety, Regulatory, and other Enterprise domains while advancing Master Data Management and governance initiatives.
  • The position offers a hybrid work pattern requiring 3 days per week at the Warsaw office with 2 days remote.

Matching Summary

This role partners with the Senior Director to scale the Enterprise Information Architecture capability and deliver trusted data products for R&D and enterprise decision-making.

Salary

Base: 289,800.00 PLN - 362,300.00 PLN; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • 8+ years data architecture experience
  • Life sciences or pharmaceutical industry background
  • Clinical Development and R&D data domains
  • Modern data architectures (lakehouse, mesh)
  • Databricks and cloud platforms (Azure/AWS/GCP)
  • MDM/RDM platforms like Reltio
  • GxP and regulatory requirements knowledge

Nice-to-have

  • AI/ML and Generative AI adoption experience
  • Knowledge graphs and semantic models
  • Strong stakeholder management skills
  • Cross-functional global team collaboration
  • Strategic thinking with hands-on execution
  • Influence and drive adoption of standards

Key Requirements

  • Bachelor's or Master's degree in related field
  • 8+ years of experience in data architecture
  • Experience with Clinical Development and R&D data domains
  • Proficiency in SQL and data modeling techniques
  • Understanding of GxP and regulatory requirements

Work Rights

Not specified

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