- Serve as Commercial PoC in defining and prioritizing the roadmap of commercial advanced analytics and AI use cases
- Own the advanced analytics roadmap and business integration for better customer engagement model
- Prioritize and manage the Commercial advanced-analytics and AI use-case pipeline
- Define business, data, and success requirements for Commercial models and AI tools
- Provide commercial validation and business acceptance during enterprise-run testing
- Own the day-to-day advanced analytics operations by serving as intake for Commercial leadership requests
Requirements
- Bachelor's degree in a quantitative field such as statistics, data science, computer science, or engineering; advanced degree (MS or PhD) preferred
- 15+ years in pharmaceutical or biotech commercial advanced analytics
- Fluency with core commercial data assets — specialty pharmacy / hub, claims (e.g., IQVIA, Symphony), CRM / Veeva, call and activity, and consent data
- Experience partnering with technical teams to bring machine learning and AI-driven tools into production commercial workflows
- Demonstrated experience building, leading, and developing analytics or data science teams
- Hands-on proficiency in Python and SQL
- Experience with cloud data and machine learning platforms (e.g., Databricks, Fabric, Azure/AWS ML tooling)
Core Competencies
Demonstrates expertise in commercial advanced analytics and AI, with a strong focus on integrating data-driven insights into business strategies. Proficient in managing analytics operations and leading teams to enhance customer engagement through advanced analytics tools.
Highest-signal resume keywords
- Commercial Advanced Analytics
- AI Use Case Management
- Python Proficiency
- SQL Proficiency
- Cloud Data Platforms
ATS Optimization Keywords
Hard Skills
- Data Science
- Machine Learning
- Statistical Analysis
- Business Integration
- Data Requirements Definition
Soft Skills
- Leadership
- Collaboration
- Communication
Industry Keywords
- Pharmaceutical
- Biotech
- Commercial Data Assets
- Specialty Pharmacy
- Claims Data
Tools & Technologies
- Databricks
- Azure ML
- AWS ML Tooling
- Veeva
- IQVIA