Associate Director, AI-Driven Commercial Analytics

Bristol-Myers Squibb Co; New Jersey; On-site; USD 168,000 - 203,000; Full time

Benefits offered by this job

Wellbeing support

Retirement benefits

Paid time off

Job summary

Bristol Myers Squibb is seeking an Associate Director of Commercial AI and Advanced Analytics to lead the development and execution of advanced Marketing Mix and causal analyses. The role focuses on turning complex modeling outputs into strategic recommendations for brand, omnichannel, and finance partners.

The position emphasizes hands-on analytics, enterprise data governance, and collaboration with TA Analytics Leads to deliver timely, high-quality insights that drive ROI across brands.

Qualifications

• Advanced degree in Statistics, Economics, Data Science, Operations Research, or a related quantitative field.
• Minimum 5 years of experience in pharmaceutical commercial analytics with MMx, MMM, or causal analysis.
• Proven experience supporting brand strategy, budget planning, and performance measurement.
• Hands-on expertise in Marketing Mix Modeling (Bayesian, Adstock, saturation, non-linear modeling).
• Strong background in causal inference methods (geo-experiments, synthetic controls, uplift).
• Proficiency in Python or R for modeling and automation; solid SQL; experience with cloud platforms (Databricks, Snowflake).
• Exposure to MLOps, version control, and model lifecycle management.
• Ability to translate analytical requirements into agent specifications and KBQ context definitions.
• Experience leading UAT for analytics/AI-enabled platforms and communicating results to non-technical stakeholders.

Responsibilities

• Own end-to-end development and execution of MMx and KDA to support brand planning and budget optimization.
• Apply advanced modeling to quantify incremental impact across channels (sales force, digital, TV, patient programs).
• Translate modeling outputs into actionable recommendations for brand strategy and investment allocation.
• Design and run MMx models using Bayesian and hierarchical frameworks; model interactions and non-linear effects.
• Operationalize MMx, KDA, and causal models into agent-based, always-on insights pipelines.
• Partner with centralized teams to integrate MMx into self-service analytics and production data pipelines.
• Ensure models are explainable, auditable, and compliant with HIPAA, GDPR/CCPA.

Skills

Python

R

SQL

Databricks

Snowflake

MLOps

Modeling techniques

Causal inference

Communication of complex models

Education

Advanced degree in Statistics, Economics, Data Science, OR Operations Research

Tools

Git

BI tools

Job description

Bristol Myers Squibb is seeking an Associate Director of Commercial AI and Advanced Analytics to lead the development and execution of advanced Marketing Mix and causal analyses. The role focuses on turning complex modeling outputs into strategic recommendations for brand, omnichannel, and finance partners.

The position emphasizes hands-on analytics, enterprise data governance, and collaboration with TA Analytics Leads to deliver timely, high-quality insights that drive ROI across brands.