Associate Director, Commercial AI & Analytics — Oncology

Bristol Myers Squibb EU Policy; Princeton (NJ); On-site; USD 168,000 - 203,000; Full time

Benefits offered by this job

Wellbeing support

Retirement and financial protection

Flexible work models

Job summary

The Associate Director, Commercial AI and Advanced Analytics at Bristol Myers Squibb leads advanced MMx, KDA, and causal analytics to guide brand planning and investment decisions. This hands-on role designs models, oversees end-to-end analytics pipelines, and communicates insights to Marketing, Omnichannel, Field, and Finance partners in a regulated pharmaceutical setting.

You will collaborate with TA Analytics Leads, central platforms, and Hyderabad teams to ensure data quality, model

Qualifications

• Advanced degree in Statistics, Economics, Data Science, OR Operations Research, or related quantitative field.
• Minimum 5 years of pharmaceutical commercial analytics experience with MMx/MMM and causal analysis.
• Strong modeling and data analysis skills with Python or R.
• Experience with Bayesian, adstock, lag, saturation, and non-linear optimization.
• Ability to explain complex models to non-technical stakeholders.

Responsibilities

• Own end-to-end development and execution of advanced MMx and Key Driver Analyses to support brand planning, budget optimization, and performance assessment.
• Apply advanced modeling techniques to quantify incremental impact across channels (sales force, digital, TV, patient programs).
• Translate modeling outputs into clear business implications for brand strategy, media mix, and investment allocation.
• Develop scalable MMx pipelines aligned with enterprise standards and automated platforms.

Skills

Python

R

SQL

Data Visualization

Education

Advanced degree in Statistics / Economics / Data Science / OR related quantitative field

Tools

Databricks

Snowflake

R/Python notebooks

Job description

The Associate Director, Commercial AI and Advanced Analytics at Bristol Myers Squibb leads advanced MMx, KDA, and causal analytics to guide brand planning and investment decisions. This hands-on role designs models, oversees end-to-end analytics pipelines, and communicates insights to Marketing, Omnichannel, Field, and Finance partners in a regulated pharmaceutical setting.

You will collaborate with TA Analytics Leads, central platforms, and Hyderabad teams to ensure data quality, model