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Manager, AI Forecasting

AbbVie

Mettawa, ILJob$110K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$110K/yr
Location
Mettawa, IL
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

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

Skills & qualifications

RequiredNice to have

Skills

Machine LearningTime-Series ForecastingSupervised LearningEnsemble MethodsModel EvaluationPythonRProduction ML DeploymentBusiness Context TranslationTechnical CommunicationDocumentationWorkstream ManagementCommercial AnalyticsCommercial ForecastingCommercial Volume ForecastingPharmaceutical Data SourcesEnterprise Forecasting PlatformsLarge Language ModelsGenerative AIModel Governance

Qualifications

Bachelor's in Quantitative FieldMaster's Degree5+ Years Quantitative ExperienceMachine Learning Model DevelopmentModel ValidationModel OperationalizationPharmaceutical ExperienceBiotech ExperienceLife Sciences Experience

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

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, (https://www.linkedin.com/company/abbvie/) Facebook, Instagram (https://www.instagram.com/abbvie/) , X (https://twitter.com/abbvie) and YouTube. (https://www.youtube.com/user/AbbVie)

Job Description

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

Responsibilities

  • Operate and maintain AI/ML sales forecasting models, monitoring accuracy, reliability, and performance, and resolving or escalating issues.

  • Deliver model outputs on schedule to support financial planning cycles and downstream deadlines.

  • Build and refine new 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 in clear, well-supported terms that withstand leadership scrutiny, including counterintuitive outcomes.

  • Help identify and prioritize the highest-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.

Qualifications

Required

  • 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.

Preferred

  • Experience in pharmaceutical, biotech, or life sciences commercial analytics, forecasting, or data science.

  • Experience with commercial volume forecasting and pharmaceutical data sources (e.g., 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.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Salary: $109,500

How this job compares

Set against the 2,012 open Machine Learning jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$110K/yr
  • Illinois median$135–205K/yr47 salary ranges
  • US median$150–244K/yr1,489 salary ranges

This rate, $110K, is 36% below the Illinois median midpoint ($171K) — in the lowest quarter of Machine Learning salary ranges in Illinois.

Openings
Olive Jobs lists 58 open Machine Learning jobs in Illinois and 2,012 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Illinois
Experience
This posting asks for at least 5 years of experience; Machine Learning postings that state a minimum ask for 5 years at the median (1,482 postings).
Education
This posting asks for a bachelor's degree; 784 of the 2,012 open Machine Learning jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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