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Tier-1 employer and metro location increase density, but seniority and niche life‑sciences Salesforce expertise reduce competition.
Requires life‑sciences IT, regulated/GxP and Salesforce Life Sciences Cloud experience, limiting cross‑industry transferability.
Explicit 12+ years, 5+ years life‑sciences leadership, and mandatory Salesforce/cloud/regulatory experience make filters strict.
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Lead global engineering teams to build and industrialize enterprise-grade software platforms for end-to-end cell therapy operations integrating Salesforce, AWS, and Agentic AI automation.
Own technology strategy, architecture, and SDLC processes including DevSecOps to ensure compliance, scalability, and reliability in regulated environments (GxP, HIPAA, FDA, GDPR).
Drive platform integration across Salesforce Life Sciences Cloud, MuleSoft, AWS, and event streaming technologies to enable seamless data and workflow continuity at scale.
Bachelor's degree in Computer Science, Software Engineering, or related field.
12+ years software development experience with 5+ years in leadership roles in life sciences, biotech, or manufacturing IT.
Proven experience managing sophisticated Salesforce environments and multi-cloud implementations in regulated environments (GxP, HIPAA, FDA).
Experience with AWS, Azure, Python, Salesforce Service Cloud and Life Sciences, MuleSoft, Kafka, and Agentic AI or similar automation technologies.
Senior leader with demonstrated ability to lead multiple global product development teams with full engineering and delivery ownership in regulated life sciences IT context.
Strong background in system architecture, secure coding, cloud-native design, and compliance-focused software delivery.
Experienced in driving adoption of AI-driven automation (Agentic AI, GenAI) within SDLC and integrating advanced therapy modules within Salesforce Life Sciences Cloud.