Role:
Lead the development and management of Alumis' commercial data environment to support decision-making and AI integration.
Responsibilities:
- oversee data integration from multiple sources (CRM, claims, specialty pharmacy, etc.)
- establish data governance frameworks
- design and implement a cloud-based data management system
- develop a trusted 'golden record' for customer data.
- Lead the adoption of AI, predictive analytics, and machine learning within the commercial organization, ensuring best practices and governance.
- Collaborate closely with IT, legal, and commercial teams to ensure data quality, compliance, and effective system training.
Requirements:
- 10+ years in commercial data strategy within biopharma, with experience in data warehouses, CRM, MDM, BI, AI, and omnichannel systems
- prior biotech launch experience
- deep knowledge of data architecture, governance, and lifecycle management
- proven leadership and influencing skills
- excellent communication
Preferred:
- Bachelor’s or advanced degree in Information Systems, Data Science, or related field.
High-Value:
- Focus on biopharma commercial data ecosystems, AI/ML implementation, regulatory compliance, cross-functional collaboration, and experience with emerging biotech product launches.
WorkSetup:
Not specified; likely hybrid or on-site based on role scope.
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