Global AI Forecasting Lead | Scale ML in Pharma

AbbVie; Mettawa (IL); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Long-term incentive programs

Comprehensive benefits package

Job summary

AbbVie is seeking an Associate Director, AI Forecasting, to lead AI/ML forecasting initiatives across brands and geographies from our Global Forecasting Center of Excellence. You will set standards, guide model development, and partner with forecasting, finance, technology, and business leaders to ensure reliable, explainable outputs aligned with planning cycles.

You will supervise a team of forecasting data scientists, drive model governance, and explore emerging AI methods, including large

Qualifications

• Bachelor’s degree in a quantitative field; advanced degree preferred.
• 7+ years in quantitative roles with ML model development and deployment.
• Expert-level proficiency in ML, time-series forecasting, and model evaluation.
• Ability to translate business context to modeling decisions and present to executives.

Responsibilities

• Lead AI/ML forecasting models' operation and maintenance.
• Ensure timely model outputs support financial planning cycles.
• Define standards for new forecasting models and data requirements.
• Collaborate with forecasters, brand teams, finance, and tech.
• Translate model results into clear business explanations for leaders.
• Develop team capabilities and govern modeling portfolio.

Skills

Forecasting

Machine learning

Time-series

Python/R

Leadership

Cross-functional

Education

Bachelor's degree in Statistics/Data Science/CS/Engineering/Math

Tools

Python

R

Job description

AbbVie is seeking an Associate Director, AI Forecasting, to lead AI/ML forecasting initiatives across brands and geographies from our Global Forecasting Center of Excellence. You will set standards, guide model development, and partner with forecasting, finance, technology, and business leaders to ensure reliable, explainable outputs aligned with planning cycles.

You will supervise a team of forecasting data scientists, drive model governance, and explore emerging AI methods, including large