Manager, AI CRM Engineering - Field Enablement

Role: Manager of AI CRM Engineering responsible for designing and leading AI-enabled CRM solutions within the life sciences sector. Primary objectives include integrating generative AI, predictive analytics, and intelligent features into Veeva CRM platforms to optimize field force and sales workflows. Responsibilities encompass developing AI workflows, scaling generative AI use cases, leading architecture and deployment, establishing AI governance, and collaborating with Data Science and IT teams. The role involves hands-on technical leadership in CRM data integration, AI model operationalization, and ensuring compliance with GxP and validation standards. Qualifications: Bachelor's in Computer Science, Data Science, or related field; 5+ years in IT, CRM configuration, and AI/ML development; proficiency in SQL, Python, and cloud platforms (AWS, Databricks). Preferred skills include experience with LLM frameworks, life sciences CRM applications, DevOps tools, and validation in regulated environments. High-Value: Focus on enterprise AI solutions within CRM for pharmaceutical commercialization, with emphasis on generative AI, predictive KPIs, and real-time event processing. Stakeholder collaboration spans global IT, data science, and commercial teams. Work setup may include hybrid or onsite arrangements, with an emphasis on compliance and cross-functional impact.