Drive Salesforce Life Science Cloud and Data Cloud implementations and orchestration for CRM-driven field operations.

• Hands-on Implementation: Lead the technical build-out and day-to-day optimization of Salesforce Life Science Cloud , Marketing Cloud , and Data Cloud .
• AI & Automation Execution: Support the deployment of Agentforce pilots to automate customer interactions and boost field force productivity.
• Omnichannel Delivery: Execute the technical strategy for omnichannel journeys, ensuring Data Cloud triggers real-time, personalized actions for field reps in the CRM.
• Integration Building: Develop and maintain API-first and event-driven integrations between Salesforce and US-specific data sources like claims and EHR feeds.
• Squad Mentorship: Lead a squad of engineers through daily Scrum/Kanban activities, conducting code reviews and enforcing DevSecOps standards (CI/CD, automated testing).
• Vendor Quality Control: Review technical deliverables from external partners to ensure they meet our internal architectural principles and code quality expectations.

Requirements

• Bachelor’s Degree or equivalent experience
• 5+ years of experience in CRM or related Customer Engagement processes.
• Proven track record managing Veeva CRM or Salesforce Life Science Cloud suite. Deep expertise in Salesforce Data Cloud and Marketing Cloud .
• Proficiency in RESTful API design and Event-Driven Architecture (EDA) using tools like MuleSoft or Kafka .
• Proven experience leading engineering squads, managing technical debt, and driving GitFlow and CI/CD pipelines.
• Ability to explain technical trade-offs to IT partners and translate business requirements into technical designs.

Preferred

• Hands-on experience or certifications in Salesforce Agentforce or building autonomous agents using Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation).
• Deep understanding of U.S. Commercial Landscape (HIPAA, claims data, EHR models, and regulatory considerations).
• Proficiency in AWS or Azure cloud services, specifically for serverless computing (Lambda/Functions) or data warehousing (Snowflake).
• Experience managing "Managed Services" or System Integrator (SI) partners to ensure code quality and adherence to architectural blueprints.