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Salary
≈ $80k – $174k per year (Estimated)
Location
Hybrid (Warsaw, Poland)
Seniority
Architect · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on May 25, 2026. BeOne Medicines scores B on the Alion truth index.

Overview
Company
Impact
Profile match
BeOne Medicines, formerly BeiGene, is a global oncology company that discovers, develops, manufactures and sells cancer medicines, including the BTK inhibitor Brukinsa and the PD-1 antibody Tevimbra for hematologic malignancies and solid tumors. Founded in 2010 in Beijing, it runs research, clinical development and manufacturing across China, the United States and Europe, with major sites in Hopewell, New Jersey, San Carlos, California and Warsaw. Its US business is run from Cambridge, Massachusetts. The company is headquartered in Basel, Switzerland.

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

General Description:

Are you passionate about enabling data-driven transformation in the life sciences industry? Join our Global Data Strategy and Solutions team to help scale the Enterprise Information Architecture capability. This role will partner closely with the Senior Director to translate strategic vision into execution, ensuring the delivery of trusted, governed, and scalable data products that support critical R&D and enterprise decision-making.

The Associate Director, Enterprise Information Architecture will play a key role in shaping and executing data architecture initiatives across Clinical Operations, Safety, Regulatory, and other Enterprise domains. This position will focus on operationalizing architecture standards, supporting major data programs, and advancing Master Data Management (MDM), Reference Data Management (RDM), Data Quality (DQ), and governance initiatives.

The ideal candidate will bring a strong blend of strategic thinking, technical expertise, and stakeholder engagement skills, with experience in modern data platforms and life sciences R&D processes.

This role has hybrid work pattern, 3 days per week from our Warsaw office with 2 days remote.

Key Responsibilities

Support Enterprise Information Architecture Capability

  • Partner with the Senior Director to scale the Enterprise Information Architecture framework, standards, and best practices.
  • Assist in defining and maintaining enterprise data domains, subdomains, and canonical data models.
  • Ensure alignment of R&D data initiatives with enterprise architecture and governance standards.

Drive Execution of Strategic Data Initiatives

  • Provide architectural leadership and execution support for key programs
  • Translate business requirements into scalable and reusable data products.
  • Collaborate with business and IT stakeholders to design end-to-end data solutions supporting analytics and operational use cases.
  • Guide teams in adopting common data models, semantic layers, and architecture patterns.
  • Ensure consistent implementation of Bronze, Silver, and Gold data layers within the enterprise data platform.
  • Support the creation and certification of trusted data products for enterprise consumption.
  • Create and review data models and enforce data modelling standards.
  • Lead enterprise Semantic Modelling standard and develop a framework for context engineering.

Stakeholder Engagement & Cross-Functional Collaboration

  • Act as a bridge between strategic leadership and execution teams, ensuring alignment and effective delivery of initiatives.
  • Engage with business leaders across Clinical Operations, Safety, Regulatory, and Biometrics to understand and address data needs.
  • Collaborate with the Integration Center of Excellence (CoE) and enterprise architecture teams to promote standardized integration patterns.

Innovation & Future-Ready Data Ecosystem

  • Support the adoption of AI/ML and Generative AI by enabling high-quality, well-governed, and AI-ready data assets.
  • Contribute to the evolution of the enterprise data ecosystem through knowledge graphs, semantic models, and advanced analytics.
  • Identify opportunities to enhance data capabilities and drive continuous improvement.

Education

  • Bachelor’s or Master’s degree in Information Science, Computer Science, Data Management, Life Sciences, or a related field.

Experience

  • 8+ years of experience in data architecture, data management, or analytics within the life sciences or pharmaceutical industry.
  • Proven experience supporting enterprise-scale data and analytics initiatives.
  • Experience with Clinical Development and R&D data domains.

Technical Skills

  • Strong understanding of modern data architectures, including data lakehouse, data mesh, and medallion patterns.
  • Hands-on experience with Databricks and cloud platforms (Azure/AWS/GCP).
  • Familiarity with MDM/RDM platforms (e.g., Reltio) and data governance/catalog tools (e.g., Informatica, Collibra).
  • Knowledge of data quality frameworks, metadata management, and lineage.
  • Proficiency in SQL and data modeling techniques.
  • Understanding of GxP and regulatory requirements in the life sciences industry.

Leadership & Soft Skills

  • Strong stakeholder management and communication skills.
  • Ability to translate strategic vision into actionable execution.
  • Experience working in cross-functional and global teams.
  • Strategic thinking combined with hands-on problem-solving.
  • Ability to influence and drive adoption of enterprise standards.

Salary Range Poland: 289,800.00 PLN - 362,300.00 PLN

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity, and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented
  • Analytical Thinking/Data Analysis
  • Financial Excellence
  • Communicates with Clarity

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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