below marketmost similar roles pay hereabove market
This role pays less than
81%
of similar roles. Most pay
$167,925–$252,914
— the blue band above.
At the midpoint, this role pays about
$159k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
127 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 119 roles with salary data.
The Manager, AI Forecasting joins the Global Forecasting Center of Excellence to lead a small team of data scientists in developing analytical capabilities for enterprise planning. This role involves operating, maintaining, and expanding artificial intelligence and machine learning models to forecast organizational sales. Key responsibilities include building new models, monitoring performance, and delivering outputs for financial planning cycles while ensuring results are explainable to leadership. The position requires advanced proficiency in Python and/or R, time-series forecasting, supervised learning, and ensemble methods. Candidates must translate business context into modeling decisions and manage documentation for data inputs and performance history. The work focuses on solving commercial volume forecasting problems using pharmaceutical data sources such as prescription, patient flow, and epidemiology data within a matrixed environment.
Operate and maintain AI/ML sales forecasting models while monitoring accuracy and performance.
Build and refine new forecasting models using established standards for data and feature engineering.
Deliver model outputs on schedule to support financial planning cycles and deadlines.
Explain model results clearly to leadership and non-technical stakeholders.
Lead, coach, and develop a small team of data scientists.
Maintain thorough documentation of configurations, data inputs, and performance history.
Identify and prioritize high-value opportunities for new forecasting models.
Stay current on AI/ML developments and contribute to AI governance standards.
What we're looking for
Bachelor’s degree in a quantitative field such as Statistics, Data Science, Computer Science, Engineering, or Mathematics (master’s preferred).
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 the ability to manage multiple workstreams in a matrixed environment.
Experience in pharmaceutical, biotech, or life sciences commercial analytics, forecasting, or data science (preferred).
Experience with commercial volume forecasting, pharmaceutical data sources, and integrating models into business processes (preferred).
Machine Learning
Python
R
Time-Series Forecasting
Generative AI
Large Language Models
Supervised Learning
Ensemble Methods
Model Governance
Feature Engineering
Data Science
Data Analytics
Scenario Analysis
Stress Testing
Forecasting
Quantitative Workflows
Model Development
Regulatory Reporting
Data Governance
Information Systems
Microsoft Copilot Studio
Microsoft 365
Azure AI
Python
SQL
Microsoft Power Platform
Databricks
Low-code AI
AI Agents
Process Automation
Responsible AI
Data Science
Enterprise Analytics
SQL
Python
R
AWS
Redshift
Snowflake
Azure
Fabric
Databricks
Dataiku
Informatica
Data Governance
Data Modeling
Feature Engineering
AI
ML
BI
Data Engineering