Role Overview
- Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
- Own the end-to-end commercial data product for a kidney launch, from vision to execution.
- Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
- Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
- Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
- Ensure strong Power BI semantic model understanding (measures, relationships, performance).
- Enable self-service analytics through well-designed datasets—not dashboards alone.
- Establish KPI governance, adoption tracking, and success metrics for the product.
- Lead a small cross-functional pod (data engineers, analysts).
- Operate in an agile delivery model with clear sprint outcomes and executive visibility.
- Act as the primary interface between business stakeholders and the technical team.
Requirements
- 10+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
- Strong experience with pharma launches, including segmentation, performance tracking, and KPI design.
- Hands-on understanding of Snowflake (data modeling, performance considerations).
- Strong Power BI semantic layer knowledge along with visualization
- Proven experience owning product backlogs and driving roadmap execution.
- Ability to operate independently in greenfield / build-from-scratch environments.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.