About The Position

Key Responsibilities & Deliverables: Architecture Strategy & Point of View (PoV) Development Current State Assessment: Deep dive into existing architectures to identify bottlenecks, technical debt, and scalability limitations. Option Appraisal: Evaluate multiple architectural alternatives, providing a clear-eyed analysis of pros, cons, costs, risks & impact for each by keeping an unbiased & vendor neutral approach. Target State Definition: Define robust target state architectures and create Architecture Point of Views (POVs) for high priority use cases in Data, AI, Cloud, Integrations and Collaboration platforms Standardization: Develop and document architecture best practices, standards and Reference Architectures for common, repeatable use cases to ensure consistency across the enterprise. Governance & The ARB ARB Leadership: Present PoVs and architectural designs to the Architecture Review Board (ARB), defending technical choices while remaining open to collaborative refinement. Process Improvement: Act as a key contributor to the evolution of our EA governance process, making it more agile, effective & non-disruptive. Finalization: Work closely with the ARB to finalize and formalize all architectural artifacts. Stakeholder Collaboration & Socialization Cross-Functional Partnership: Act as the "connective tissue" between Data, Analytics, AI, and Enterprise Integration functions. Partner Enablement: Socialize finalized standards and best practices with the application / data / solution teams & external consulting partners to ensure high-quality delivery. Business Alignment: Translate complex technical roadmaps into business value for non-technical stakeholders.

Requirements

  • 15+ years in IT, with at least 5+ years in an Enterprise Architecture role and 5+ years in a Solution / Application / Data Architecture role preferably within the Life Sciences, Med Tech or Healthcare sector
  • Proven experience in Cloud (GCP / AWS), Data Lake & Warehouses (Snowflake), AI/ML (Predictive AI, Generative AI, Agentic AI), Integrations (APIs, Pub-Sub, Streams, File Transfers)
  • Bachelor’s or master’s degree in Enterprise Architecture, Computer Science, Information Technology, Information Management or a related discipline
  • Certified or strong familiarity with TOGAF, Zachman Ontology Framework or similar EA framework or methodologies (but with a practical, non-dogmatic application mindset)

Nice To Haves

  • Prior experience in the Biopharma / Life Sciences industry is recommended or nice-to-have
  • Familiarity with Life Sciences capabilities, functions (R&D, Drug Development or Clinical, Regulatory, Pharmacovigilance, Manufacturing, Medical Affairs, Commercial), and common GxP / regulated use cases

Responsibilities

  • Deep dive into existing architectures to identify bottlenecks, technical debt, and scalability limitations.
  • Evaluate multiple architectural alternatives, providing a clear-eyed analysis of pros, cons, costs, risks & impact for each by keeping an unbiased & vendor neutral approach.
  • Define robust target state architectures and create Architecture Point of Views (POVs) for high priority use cases in Data, AI, Cloud, Integrations and Collaboration platforms
  • Develop and document architecture best practices, standards and Reference Architectures for common, repeatable use cases to ensure consistency across the enterprise.
  • Present PoVs and architectural designs to the Architecture Review Board (ARB), defending technical choices while remaining open to collaborative refinement.
  • Act as a key contributor to the evolution of our EA governance process, making it more agile, effective & non-disruptive.
  • Work closely with the ARB to finalize and formalize all architectural artifacts.
  • Act as the "connective tissue" between Data, Analytics, AI, and Enterprise Integration functions.
  • Socialize finalized standards and best practices with the application / data / solution teams & external consulting partners to ensure high-quality delivery.
  • Translate complex technical roadmaps into business value for non-technical stakeholders.
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