Director, US Commercial AI & Advanced Analytics
Bristol Myers Squibb
14 hours ago
Remote friendly (Princeton, NJ)
United States
Marketing
Responsibilities:
- Drive AI-enabled marketing mix and commercial decision intelligence to translate marketing investment into measurable business impact.
- Lead design, build, and operationalization of Marketing Mix (MMx), Key Driver Analyses (KDA), and optimization capabilities for investment planning, channel strategy, and performance optimization.
- Deliver AI-driven measurement, scenario planning, and optimization; automate MMx/KDA and budget optimization.
- Modernize brand and omnichannel insights, including always-on, role-based intelligence and media performance/resource allocation across digital, TV, print, and social.
- Apply experimentation and causal inference (A/B tests, incrementality, econometric models) and reinforce KPIs/methodologies.
- Enable TA-aligned teams via platforms/tools; partner with analytics/engineering for production-ready solutions.
- Execute governance/privacy/compliance-aligned AI; ensure explainability, documentation, monitoring, and human-in-the-loop controls.
- Contribute to scalable analytics products (e.g., self-service dashboards) and reduce reliance on external vendors.
- Manage and develop analytics professionals/technical leads; represent Commercial Analytics & AI cross-functionally.
Qualifications:
- Advanced degree (Data Science, Statistics, CS, Economics, or related).
- 8+ years in pharma commercial analytics/decision science with hands-on MMM/MMx, KDA, and resource optimization.
- 3+ years leading analytics teams or major cross-functional initiatives.
- Strong causal inference/incrementality expertise; proficiency in Bayesian/hierarchical/econometric MMx (adstock, lag, saturation).
- Working knowledge of agentic AI/LLMs/RAG and scalable analytics platforms; operationalization/adoption experience.
- Familiarity with pharma data assets; regulated-environment AI governance.
- Cloud analytics (Databricks, Snowflake) and BI tools; data privacy knowledge (HIPAA, GDPR/CCPA).
Benefits (as stated):
- Health coverage; wellbeing support; 401(k) and insurance/protection; paid time off/flexible time off.
Application instructions:
- Apply even if your background doesn’t perfectly match the posting.
- Drive AI-enabled marketing mix and commercial decision intelligence to translate marketing investment into measurable business impact.
- Lead design, build, and operationalization of Marketing Mix (MMx), Key Driver Analyses (KDA), and optimization capabilities for investment planning, channel strategy, and performance optimization.
- Deliver AI-driven measurement, scenario planning, and optimization; automate MMx/KDA and budget optimization.
- Modernize brand and omnichannel insights, including always-on, role-based intelligence and media performance/resource allocation across digital, TV, print, and social.
- Apply experimentation and causal inference (A/B tests, incrementality, econometric models) and reinforce KPIs/methodologies.
- Enable TA-aligned teams via platforms/tools; partner with analytics/engineering for production-ready solutions.
- Execute governance/privacy/compliance-aligned AI; ensure explainability, documentation, monitoring, and human-in-the-loop controls.
- Contribute to scalable analytics products (e.g., self-service dashboards) and reduce reliance on external vendors.
- Manage and develop analytics professionals/technical leads; represent Commercial Analytics & AI cross-functionally.
Qualifications:
- Advanced degree (Data Science, Statistics, CS, Economics, or related).
- 8+ years in pharma commercial analytics/decision science with hands-on MMM/MMx, KDA, and resource optimization.
- 3+ years leading analytics teams or major cross-functional initiatives.
- Strong causal inference/incrementality expertise; proficiency in Bayesian/hierarchical/econometric MMx (adstock, lag, saturation).
- Working knowledge of agentic AI/LLMs/RAG and scalable analytics platforms; operationalization/adoption experience.
- Familiarity with pharma data assets; regulated-environment AI governance.
- Cloud analytics (Databricks, Snowflake) and BI tools; data privacy knowledge (HIPAA, GDPR/CCPA).
Benefits (as stated):
- Health coverage; wellbeing support; 401(k) and insurance/protection; paid time off/flexible time off.
Application instructions:
- Apply even if your background doesn’t perfectly match the posting.