Associate Director, Data and Solution Architect Revenue Management Systems

Role Summary

Associate Director, Data and Solution Architect Revenue Management Systems. Lead data architecture and solution design for Revenue Management platforms within the Commercialization Business Insight and Technology group, aligning technical strategy with business goals and regulatory requirements.

Responsibilities

• Provide Data Architecture & Management leadership in Data modeling, Data Governance, Metadata management and data lineage
• Lead the technical and data strategy, architecture, and roadmap for all revenue management platforms across the enterprise
• Provide technical leadership during the implementation, upgrades and integration of Model N with ERP (e.g., SAP, Oracle), Gross to Net and other enterprise systems and processes
• Oversee system and data architecture, ensuring best practices for security, scalability, performance, and maintainability
• Develop and execute integration strategies using APIs, ETL tools, and middleware to ensure seamless data flow and interoperability
• Support the creation and maintenance of technical specifications, process documentation, and SOX/audit compliance artifacts
• Conduct solution reviews, validate configurations, and ensure alignment with business goals and architectural standards
• Utilize AI and analytics tools to extract insights from large datasets, ensuring the accuracy and integrity of Model N data for analytical and reporting purposes
• Mentor and guide technical teams, fostering a culture of innovation, collaboration, and continuous improvement

Qualifications

• 10+ years of relevant industry experience
• 5+ years of experience in data and solutions architecture
• Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field
• Relevant certifications (e.g., AWS/Azure Solutions Architect, TOGAF, PMP, Certified ScrumMaster) are a plus
• Experience with Model N US Revenue Management modules and their integration with ERP, CRM, and EDI systems
• Strong understanding of enterprise IT architecture, data modeling, MDM, data governance, metadata management, data quality, security, and privacy best practices
• Proficiency in cloud platforms (AWS, Azure, GCP) and cloud-native architecture
• Advanced analytics and programming skills (R, Python, etc.)
• SQL development and experience with relational and NoSQL databases; experience with data warehousing and big data platforms
• Strong business analysis, solution design, and SDLC/Agile/DevOps experience
• Technical leadership, mentoring, and cross-functional collaboration abilities

Skills

• Data Architecture & Management
• System Integration & Data Migration
• API design, ETL, middleware
• SOX/compliance documentation
• Analytics, AI tools, data quality and governance
• Technical leadership and stakeholder management

Education

• Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field