Moderna
Senior Solution Architect ModelN
Princeton, New Jersey, USA · Senior
Sponsorship not specifiedDetected 15 days ago
SQLData AnalysisData EngineeringComplianceStakeholder ManagementFinancial AnalysisSAPERPContract ManagementManual TestingCommunicationFinancial ReportingClaims Management
About the role
- This role will help ensure that the platform is operated in a compliant, reliable, scalable, and business-aligned manner while partnering closely with Revenue Management, Finance, Customer Operations, Trade, Market Access, Digital, and external vendor teams.
- The successful candidate will bring deep understanding of US pharmaceutical Revenue Management processes and how they are enabled through ModelN.
- This role requires someone who can connect business process knowledge with system behavior, configuration decisions, integration dependencies, operational controls, and compliance expectations.
Responsibilities
- Moderna is seeking an experienced and driven Senior ModelN Solution Architect to join the Digital Commercial organization in support of Moderna's Revenue Management capabilities.
- Serve as a senior techno-functional SME for Moderna's Revenue Management platform, with a focus on ModelN capabilities, configurations, business processes, integrations, reporting, and operational support.
- Manage or support user access, roles, permissions, and related governance activities in partnership with business process owners, Compliance, Information Security, and SOX/control stakeholders.
- Develop, maintain, and support standard reporting, audit extracts, SOX-related reports, operational dashboards, and data analysis needed by business and control stakeholders.
- Support upgrade readiness, SaaS release validation, regression testing coordination, release planning, defect triage, and business UAT activities in partnership with ModelN, business users, and Digital teams.
- Maintain platform documentation, operational procedures, configuration records, access-control documentation, support playbooks, integration context, and other materials needed to support compliant and sustainable operations.
- Identify recurring issues, process gaps, control weaknesses, and opportunities to improve platform reliability, support transparency, data quality, and operational resilience.
- Operate with a continuous improvement mindset, helping Moderna build sustainable internal platform knowledge and strengthen long-term Revenue Management capability.
Requirements
- Support hands-on ModelN configuration activities, including business rules, workflows, reference data, system settings, and other functional configurations required to support Revenue Management processes.
Nice to have
- Bachelor's degree in Information Systems, Computer Science, Business, Finance, Engineering, or a related field, or equivalent professional experience.
- 8+ years of experience supporting enterprise business applications, Revenue Management systems, commercial operations platforms, ERP-adjacent systems, or other regulated business-critical platforms.
- Strong experience with US pharmaceutical
- Understanding of controlled system environments, including audit readiness, access governance, SOX considerations, documentation discipline, testing evidence, and change control expectations.
- Comfort working with reports, data extracts, SQL or query-based analysis, and operational dashboards.
- Strong communication, organization, facilitation, and stakeholder management skills, with the ability to operate across business, technical, vendor, and compliance teams.
- Deep hands-on experience with ModelN configuration, administration, reporting, release validation, or production support in a pharmaceutical or life sciences environment.
- Experience supporting chargebacks, rebates, contract management, government pricing, Gross-to-Net, market access contracting, wholesaler distribution, or specialty pharmacy-related processes.
Apply directly at Moderna →Create a free account for alerts like thisView Moderna immigration profile
This listing is sourced directly from Moderna's careers page and normalized into a canonical job model.