Senior Director — Enterprise AI & Commercial Platform Architect

Vertex Pharmaceuticals Incorporated; Boston (MA); Hybrid; USD 228,000 - 342,000; Full time

Benefits offered by this job

Annual bonus

Equity awards

Generous PTO

Job summary

Vertex Pharmaceuticals Incorporated is seeking a Senior Director, Commercialization Technology Architect to define end-to-end architectures for scalable AI and digital capabilities across the enterprise. You will guide integration across Salesforce, Veeva, and data platforms, ensuring security, compliance, and alignment with enterprise standards.

You will lead architecture decisions, partner with Product, Data, and Engineering, and drive production-ready designs with a focus on scale and

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 12+ years of experience in enterprise architecture or solution architecture roles.
• Experience in pharma, biotech, or regulated healthcare environments strongly preferred.

Responsibilities

• Define and govern target-state architectures and engineering standards for scalable AI-enabled systems.
• Own integration patterns and data flows across Salesforce, Veeva, data platforms, and downstream systems.
• Lead architecture decisions for build vs. buy vs. partner solutions and for DevOps patterns.
• Ensure architectures meet SOX, GxP, privacy, and security requirements and align with enterprise strategies.

Skills

Enterprise architecture

CRM platforms

AI/ML systems

Data integration

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

Salesforce

Veeva

AWS

Azure

Snowflake

Databricks

Job description

Vertex Pharmaceuticals Incorporated is seeking a Senior Director, Commercialization Technology Architect to define end-to-end architectures for scalable AI and digital capabilities across the enterprise. You will guide integration across Salesforce, Veeva, and data platforms, ensuring security, compliance, and alignment with enterprise standards.

You will lead architecture decisions, partner with Product, Data, and Engineering, and drive production-ready designs with a focus on scale and