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 DescriptionAbbVie’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.
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.
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
Skills Required
- Bachelor's degree in Statistics, Data Science, Computer Science, Engineering, Mathematics, or another quantitative field
- Master's degree in a quantitative field
- 5+ years of progressive experience in quantitative or analytical roles
- Experience developing, validating, and operationalizing machine learning models
- Advanced proficiency in machine learning, including time-series forecasting, supervised learning, ensemble methods, and model evaluation
- Advanced proficiency in Python and/or R
- Experience deploying and maintaining production machine learning models
- Ability to translate business context into modeling decisions
- Ability to communicate technical results clearly to non-technical audiences
- Strong documentation skills
- Ability to manage multiple workstreams in a matrixed environment
- Experience in pharmaceutical, biotech, or life sciences commercial analytics, forecasting, or data science
- Experience with commercial volume forecasting and pharmaceutical data sources
- Experience integrating models into business processes with defined planning cycles
- 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
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
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Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
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Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
