Director, Global Forecasting COE Operations & Insights

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

Center of Excellence Overview

AbbVie’s Global Forecasting Center of Excellence (COE) sustains and advances the organization’s volume forecasting capabilities established under Finance Transformation Forecasting Excellence. The COE defines forecasting standards, governs best practices, oversees deployment of enabling technologies, executes centralized forecasting functions on behalf of the organization, and builds forecasting competencies across AbbVie’s US, International, and Allergan Aesthetics commercial organizations.

Functional leadership of the COE is divided across two roles: Forecasting Standards & Training and Forecasting Operations & Insights. These roles partner closely to ensure that AbbVie forecasters are equipped with consistent, high-quality methodologies and receive the operational support needed to deliver forecasting excellence across the enterprise.

The Director, Forecasting Operations & Insights is accountable for the operational and analytical engine of the COE—setting the strategic direction for AI/statistical forecasting, tool governance, and centralized analytics—while leading a team that operates and maintains AI/ML (Artificial Intelligence / Machine Learning) and statistical forecasting models, delivers in-scope forecasts to key organizational stakeholders, configures tools on behalf of forecasters, and conducts quantitative research to inform handling of major market events impacting organizational volume forecasts.

Core Job Responsibilities

AI/ML & Statistical Forecasting Model Governance

• Owns the strategy and governance framework for AI/ML forecasting models maintained within the COE, ensuring responsible use, appropriate oversight, and continued performance integrity.
• Leads the team in the ongoing operation, maintenance, and continuous improvement of AI/ML and statistical forecasting models developed through Finance Transformation and Forecasting Excellence initiatives.
• Monitors model performance trends and determines when enhancements to algorithmic approaches are warranted as new data, methods, or capabilities become available.
• Establishes and maintains guardrails and review processes governing the use of AI/ML forecasting tools across user teams, ensuring outputs are appropriately interpreted and applied.

Forecasting Technology & Tools

• Owns the COE’s technology roadmap for forecasting tooling, defining priorities for tool capability development in partnership with BTS and relevant technology stakeholders.
• Leads the team in configuring and onboarding Forecast Horizon for new brands, therapeutic areas, and teams, ensuring consistent and high-quality implementation.
• Partners with BTS and technology vendors to govern, maintain, and evolve forecasting system infrastructure.
• Directs the team in developing purpose-built analytical tools to address specific forecasting needs across business units where the core platform requires supplemental support.
• Brings relevant knowledge of the broader tooling landscape—to inform sound technology decisions when evaluating future investments.

Forecasting Analytics & Insights

• Partners with cross-functional organizational stakeholders to define analytical priorities for the COE—determining which cross-portfolio, cross-TA, or pan-industry questions warrant centralized analytical investment.
• Leads the team in executing high-priority analytical work to inform modeling of key organizational and market events, including:
  • Analog research on launch, loss of exclusivity (LOE), label change, and access change events.
  • Analysis of pan-industry events and their volume forecast implications (e.g., IRA policy impacts, macroeconomic shifts).
  • Epidemiological and patient