CRM Product Owner, US BioPharma
Role details
Job location
Tech stack
Job description
We are looking for a hands-on CRM Product Owner to drive the technical execution of our U.S. BioPharma digital engagement tools. In this role, you'll be the "engine room" of our digital transformation, focusing on the build and maintenance of a seamless, data-driven experience for healthcare providers (HCPs) and patients. You will work closely with the Activation Engineering Lead to turn global platform blueprints into high-performing, local solutions that ensure life-saving treatments reach the right people., * 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.
Salesforce Expertise
Proven track record managing Veeva CRM or Salesforce Life Science Cloud suite. Deep expertise in Salesforce Data Cloud and Marketing Cloud.
Integration Skills
Proficiency in RESTful API design and Event-Driven Architecture (EDA) using tools like MuleSoft or Kafka.
Agile Leadership
Proven experience leading engineering squads, managing technical debt, and driving GitFlow and CI/CD pipelines.
Technical Influence
Ability to explain technical trade-offs to IT partners and translate business requirements into technical designs.
Preferred Skills
Emerging AI
Hands-on experience or certifications in Salesforce Agentforce or building autonomous agents using Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation).
Domain Knowledge
Deep understanding of U.S. Commercial Landscape (HIPAA, claims data, EHR models, and regulatory considerations).
Cloud Architecture
Proficiency in AWS or Azure cloud services, specifically for serverless computing (Lambda/Functions) or data warehousing (Snowflake).
Vendor Management
Experience managing "Managed Services" or System Integrator (SI) partners to ensure code quality and adherence to architectural blueprints.