Enterprise Architect (business Technology Architect) - Life Sciences- Commerce & Omni-channel Domain

Capgemini

Atlanta, GA, US
Base: $98,497- $281,842; bonus/equity: variable in...
On-site
Data & analytics architecture
Life sciences data domains
Cloud platforms (azure/aws/gcp)
This role partners closely with R&D, Clinical, Regulatory, Pharmacovigilance/Safety, Manufacturing, Supply Chain, Commercial, Finance, Quality, Security, and Data & AI teams to ensure the enterprise data ecosystem supports compliance, integrity, scalability, insight generation, and AI enablement

Job Summary

  • This role partners closely with R&D, Clinical, Regulatory, Pharmacovigilance/Safety, Manufacturing, Supply Chain, Commercial, Finance, Quality, Security, and Data & AI teams to ensure the enterprise data ecosystem supports compliance, integrity, scalability, insight generation, and AI enablement.
  • The architect aligns goals and objectives with platforms (package‑based and custom), data products, integration services, and analytics capabilities to optimize enterprise decision‑making and operational performance.
  • Evaluate emerging data and AI technologies (GenAI, advanced analytics, intelligent document processing, knowledge graphs) for fit, feasibility, risk, and operational value in Life Sciences environments.

Matching Summary

This role partners closely with R&D, Clinical, Regulatory, Pharmacovigilance/Safety, Manufacturing, Supply Chain, Commercial, Finance, Quality, Security, and Data & AI teams to ensure the enterprise data ecosystem supports compliance, integrity, scalability, insight generation, and AI enablement.

Salary

Base: $98,497- $281,842; Bonus/Equity: variable incentives, bonuses, or commissions; Benefits: comprehensive, non-negotiable benefits package

Skills & Requirements

Must-have

  • Data & Analytics Architecture
  • Life Sciences data domains
  • Cloud platforms (Azure/AWS/GCP)
  • Data governance and standards
  • AI-enabled data foundations

Nice-to-have

  • Pragmatic execution
  • Market development
  • Service delivery excellence
  • Collaboration with R&D, Clinical, Regulatory

Key Requirements

  • 12+ years of experience
  • Bachelor's degree or equivalent experience
  • Experience architecting enterprise data platforms
  • Hands-on experience using AI-enabled tools

Work Rights

Not specified

Tailored Resume

Cover Letter