Role Summary
Senior Manager, CRM Platform Architecture & Innovation (Veeva / Salesforce) to lead and govern Genmab’s CRM and allied commercialization platforms, ensuring scalable, compliant, integrated, and insights-driven solutions across global markets. Responsible for shaping the technical and strategic roadmap and acting as the hands-on guardian of the CRM ecosystem in a hub-and-spoke commercialization model.
Responsibilities
- Own the end-to-end technical architecture for Veeva CRM (Online/iRep/Engage) and multi-cloud Salesforce Life Science Cloud.
- Produce and maintain a living solution blueprint covering data models, integration patterns (API-first, event-driven), security controls, and GxP/21 CFR Part 11 compliance.
- Align architecture with downstream data-platforms (Snowflake, Reltio MDM, AWS) and enterprise identity management systems.
- Lead configuration of Veeva modules (Account Management, Call Reporting, CLM, Events Management, Approved Emails, Surveys, Medical Inquiry) and Salesforce features (Flows, Declarative Sharing, Apex).
- Templatized configuration using Copado for Veeva CRM to ensure repeatable deployments across regions.
- Drive hands-on development: Apex services, Lightning Web Components, Platform Events, Visualforce, Veeva MyInsights dashboards, and integration micro-services.
- Enforce clean code practices and maintain ≥ 85% automated test coverage.
- Design and operate CI/CD pipelines (GitLab CI, SFDX, Copado, Tricentis/Tosca) for GxP-validated releases across Sandboxes, SIT, UAT, and Production.
- Orchestrate deployments and rollback strategies; champion DevSecOps and Infrastructure-as-Code for middleware (Informatica).
- Own the multi-year CRM vision and roadmap, aligning with DD&A I strategy.
- Drive platform governance, standardization, and best practices across global markets.
- Translate complex business requirements into scalable technical solutions.
- Partner with Commercial, Medical Affairs, and Data teams to surface insights and streamline field workflows.
- Mentor and lead a diverse, high-performing team of admins, developers, and analysts.
- Manage budgets, cost-benefit analyses, and platform KPIs to demonstrate value.
- Scout, prototype, and operationalize emerging technologies—generative-AI, predictive analytics, conversational bots—across Salesforce and Veeva to elevate HCP engagement and field productivity.
- Lead rapid proof-of-concepts (≤ 12 weeks) with Data Science teams to test use-cases such as AI call-note summarization, smart segmentation, and next-best-action recommendations.
- Establish an innovation backlog and governance model to funnel successful pilots into the main CI/CD release train while ensuring privacy, ethical-AI, and GxP compliance.
Qualifications
- Experience: 8+ years overall in CRM; 3+ years as a Salesforce/Veeva admin–developer in life-sciences (pharma/biotech) commercial & medical domains.
- Education: Bachelor’s in computer science, Engineering, or related field (Master’s preferred).
- Certifications: Salesforce Administrator or Developer (mandatory); Veeva CRM Admin or equivalent (preferred).
- Technical Expertise:
- Advanced configuration/development (Apex, Flows, Visualforce, LWC, Triggers).
- Proven leadership of multi-cloud Salesforce implementations.
- DevSecOps & CI/CD (SFDX, GitLab) and automated testing frameworks (Copado, Tricentis).
- API-first integration design with middleware and data ecosystems.
- Domain Knowledge: Life Science Commercial and Medical Operations for US, EU, and Japan; Oncology launch and EU commercial experience desirable; strong understanding of 21 CFR Part 11, GDPR, Sunshine/Open Payments.
- Soft Skills: Exceptional leadership, stakeholder-management, and negotiation abilities; strong collaboration across diverse teams.
Skills
- Mastery of Veeva/Veeva CRM and Salesforce platform capabilities.
- Proficient in CI/CD tooling and automated testing in regulated environments.
- Strong data modeling, integration design, and security controls.
- Leadership of cross-functional teams and complex project governance.
- Emerging technology scouting and rapid experimentation with governance.
Education
- Bachelor’s in Computer Science, Engineering, or related field; Master’s preferred.
Additional Requirements
- On-site presence required at Princeton office 60% of the time.
- Compliance with privacy, ethical-AI, and GxP standards in all activities.