Senior Manager, Data Engineering
Core
Building robust data models, pipelines, and feature stores to power advanced AI, machine learning, and analytics applications for the commercial pharma business.
Role type
Senior Manager, Data Engineering
Builds
Data foundation for high-impact projects including ROI analysis, Field Force sizing, On-demand analytics, Data Strategy, and Multi-Agent systems.
Domain
Commercial Pharma / Data Engineering & AI
Deliverable
production ML models
Required skills
Python (Polars, Pandas, Numpy), distributed systems (dbt, Airflow, Spark, Snowflake), SQL/NoSQL data modeling, data quality frameworks, CI/CD, Docker, project leadership
Preferred skills
Pharma analytics domain experience, performance tuning, cost optimization, dashboard development (Tableau, Power BI, Streamlit), data product management
Technologies
Python, Polars, Pandas, Numpy, dbt, Airflow, Spark, Snowflake, Git, Docker, Tableau, Power BI, Streamlit
Responsibilities
Lead development of core data components for advanced analytics and agentic data layers; execute enterprise Data Strategy by translating roadmaps into technical designs; design and build end-to-end data pipelines for AI and RAG applications; build clean data foundations enabling statistical analysis and ML models; deliver high-quality data for strategic brand and commercial decisions; implement best practices in data management, model validation, and ethical AI.
Seniority
Senior, hands-on IC with leadership
