Senior Director, Commercialization Technology Architect
Vertex Pharmaceuticals
August 20, 2026
Remote friendly (Boston, MA)
United States
IT
Position Summary
- Define and govern target-state architectures, integration patterns, and platform standards to enable scalable, secure, and compliant AI solutions across Commercial and Medical ecosystems.
Key Responsibilities
- Define and maintain target-state architecture; establish reference architectures, design patterns, and engineering standards for AI-enabled systems.
- Govern architecture alignment across CRM, omnichannel, patient services, and enterprise platforms.
- Own integration patterns and data flows across Salesforce, Veeva, data platforms, and downstream systems.
- Define real-time/batch data architectures, including event-driven patterns and APIs; align with enterprise data platforms (e.g., MDM, Snowflake, Databricks).
- Lead build vs. buy vs. partner decisions; define cloud/data/DevOps environment and deployment architecture patterns.
- Ensure architectures meet SOX, GxP, privacy, and security requirements; define observability/auditing/control patterns for AI.
- Translate product requirements into executable architectures; provide guidance to keep solutions production-ready; serve as final architecture authority for design reviews.
Knowledge, Skills & Qualifications
- 12+ years in enterprise/solution architecture; deep expertise in enterprise architecture, solution design, distributed systems.
- Experience with Salesforce and Veeva; proven scaled integrations and data architecture.
- Hands-on with cloud/data platforms (AWS/Azure, Snowflake, etc.) and modern data stacks.
- Experience designing AI/ML and LLM-based systems; strong understanding of AI architectures (e.g., MCP).
- Expertise in security/compliance in regulated environments (SOX, GxP).
Education & Experience
- Bachelor’s or Master’s in Computer Science/Engineering (or related).
- Pharma/biotech/regulated healthcare experience strongly preferred; experience across Commercial, Medical, or patient services preferred.
Pay Range
- $228,000 - $342,000
- Define and govern target-state architectures, integration patterns, and platform standards to enable scalable, secure, and compliant AI solutions across Commercial and Medical ecosystems.
Key Responsibilities
- Define and maintain target-state architecture; establish reference architectures, design patterns, and engineering standards for AI-enabled systems.
- Govern architecture alignment across CRM, omnichannel, patient services, and enterprise platforms.
- Own integration patterns and data flows across Salesforce, Veeva, data platforms, and downstream systems.
- Define real-time/batch data architectures, including event-driven patterns and APIs; align with enterprise data platforms (e.g., MDM, Snowflake, Databricks).
- Lead build vs. buy vs. partner decisions; define cloud/data/DevOps environment and deployment architecture patterns.
- Ensure architectures meet SOX, GxP, privacy, and security requirements; define observability/auditing/control patterns for AI.
- Translate product requirements into executable architectures; provide guidance to keep solutions production-ready; serve as final architecture authority for design reviews.
Knowledge, Skills & Qualifications
- 12+ years in enterprise/solution architecture; deep expertise in enterprise architecture, solution design, distributed systems.
- Experience with Salesforce and Veeva; proven scaled integrations and data architecture.
- Hands-on with cloud/data platforms (AWS/Azure, Snowflake, etc.) and modern data stacks.
- Experience designing AI/ML and LLM-based systems; strong understanding of AI architectures (e.g., MCP).
- Expertise in security/compliance in regulated environments (SOX, GxP).
Education & Experience
- Bachelor’s or Master’s in Computer Science/Engineering (or related).
- Pharma/biotech/regulated healthcare experience strongly preferred; experience across Commercial, Medical, or patient services preferred.
Pay Range
- $228,000 - $342,000