Data & AI Manager
Core
Build audience strategies and AI products for pharmaceutical advertising campaigns using medical claims and consumer data.
Role type
Manager-level applied data scientist and AI product builder
Builds
Audience segmentation models, synthetic market-research persona panels, automated client reporting tools, and new-business audience generation workflows
Domain
Healthcare marketing / Pharmaceutical advertising / Claims analytics
Deliverable
production ML models
Required skills
Advanced SQL, Python (pandas, scikit-learn), statistics and experimentation design, applied AI/LLM evaluation, stakeholder presentation
Preferred skills
Healthcare claims data (Symphony, IQVIA), pharmaceutical marketing (HCP/DTC), incrementality testing, LLM-assisted development, Streamlit/dashboarding
Technologies
Amazon Redshift, XGBoost, Streamlit, GA4, Adobe Analytics
Responsibilities
Develop HCP propensity and segmentation models on medical/pharmacy claims; Write production-grade SQL queries against large claims data; Build AI prototypes into reliable production solutions; Define quality standards and evaluation frameworks for AI outputs; Design holdout and geo tests for campaign measurement; Create scalable dashboards and reusable tooling; Present analysis results to Strategy, Media, and client stakeholders
Seniority
Manager, hands-on IC with team scaling responsibilities
