Manager, AI Forecasting

AbbVie•Mettawa, IL

3d•$109,500 - $208,500

About The Position

AbbVie’s Global Forecasting Center of Excellence sets forecasting standards and builds analytical capabilities that guide enterprise planning. The Manager, AI/ML Forecasting uses artificial intelligence and machine learning to forecast organizational sales and leads a small team of data scientists who operate, maintain, and expand forecasting models. The role partners with forecasters, finance, technology, and business teams to keep model outputs reliable, explainable, and aligned with planning cycles.

Requirements

Bachelor’s degree in a quantitative field such as Statistics, Data Science, Computer Science, Engineering, or Mathematics.
At least 5 years of progressive experience in quantitative or analytical roles, including machine learning model development, validation, and operationalization.
Advanced proficiency in machine learning, including time-series forecasting, supervised learning, ensemble methods, and model evaluation.
Advanced proficiency in Python and/or R, with experience deploying and maintaining production ML models.
Ability to translate business context into modeling decisions and communicate technical results clearly to non-technical audiences.
Strong documentation skills and ability to manage multiple workstreams in a matrixed environment.

Nice To Haves

Master’s degree in a quantitative field.
Experience in pharmaceutical, biotech, or life sciences commercial analytics, forecasting, or data science.
Experience with commercial volume forecasting and pharmaceutical data sources, such as prescription, patient flow, and epidemiology data.
Experience integrating models into business processes with defined planning cycles, and familiarity with enterprise forecasting platforms.
Exposure to large language models and generative AI in analytical contexts.
Experience with model governance frameworks, including documentation, validation, and responsible-use guidelines.

Responsibilities

Operate and maintain AI/ML sales forecasting models, monitor accuracy, reliability, and performance, and resolve or escalate issues.
Deliver model outputs on schedule to support financial planning cycles and downstream deadlines.
Build and refine forecasting models using established standards for data, feature engineering, validation, and handoff.
Partner with stakeholders to understand business dynamics, curate inputs, and implement approved model changes.
Explain model results clearly and with supporting evidence, including counterintuitive outcomes, in ways that withstand leadership scrutiny.
Help identify and prioritize high-value opportunities for new models.
Maintain thorough documentation of configurations, data inputs, adjustments, and performance history.
Stay current on AI/ML developments, including emerging architectures and large language model applications, and contribute to AI governance and responsible-use standards.
Lead, coach, and develop 1–3 data scientists, owning team prioritization and work planning.