Director, AI Architecture & Governance
Core
Define and govern enterprise-scale AI and Generative AI architectures across the life sciences value chain, establishing standards, platform strategies, and governance frameworks for safe, scalable delivery.
Role type
Senior technical leadership (Director)
Builds
Enterprise AI reference architecture, platform/tooling strategies, and governance frameworks for R&D, clinical, and operations
Domain
Life sciences / Biotech / Regulated environments
Deliverable
production ML models | infrastructure
Required skills
AI/ML system architecture, enterprise data platforms, cloud architectures, governance and security models, model lifecycle management, cross-functional leadership
Preferred skills
Biotech/pharma domain experience, regulated environment experience (CSV/quality), data governance partnership
Technologies
Modern data platforms, cloud architectures, agentic capabilities
Responsibilities
Define enterprise AI reference architecture (data, model, orchestration, integration); Lead build vs. buy vs. partner decisions for AI/ML tooling; Establish governance and validation standards for AI/ML solutions; Define data access and security models for AI systems; Maintain oversight of AI use case portfolio execution; Drive cross-functional alignment on architectural standards
Seniority
Director, strategic leadership with hands-on architectural definition