CD&A - Forecasting Senior Manager, Rare Disease
Listed on 2026-01-17
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IT/Tech
Data Analyst, Data Science Manager
Career Category Sales & Marketing Operations Job Description Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
CDnA - Forecasting Senior Manager, Rare Disease What you will doLet’s do this. Let’s change the world. The Forecasting team at Amgen plays a pivotal role as a strategic partner to Commercial leadership, offering data-backed insights crucial for driving commercial success. As a Senior Manager of Forecasting, you will contribute significantly to the Rare Disease business, executing and managing discussions with brand leads.
The individual in this role will need to thoughtfully influence and challenge a diverse set of stakeholders from Commercial, R&D, Medical, Finance, Manufacturing, Access, and Pricing/Contracting, while proficiently understanding the nuances of the particular disease area of interest and the market.
This role reports to the Director of Forecasting and operates within the broader framework of Customer Data & Analytics (CD&A).
Flexible Commuter role to the Deerfield, IL or Thousand Oaks, CA office.
This role will require someone to be in the office Tuesdays and Wednesdays.
- Build and maintain robust forecasting models using advanced techniques (trend analysis, regression, scenario planning)
- Incorporate internal and external data (sales trends, competitive landscape, market research) to refine forecasts
- Conduct regular forecast reviews and adjust as needed based on market dynamics, sales performance and strategic changes
- Collaborate with cross-functional teams to align forecasts with business strategies
- Provide insights on performance drivers and potential risks and opportunities impacting the forecasts
- Evaluate and report the impact of market events (competitor launches, regulatory changes) on product performance
- Present forecasts and supporting insights to senior leadership and other stakeholders
- Work closely with supply chain teams to ensure forecasts align with inventory and operational planning
- Serve as the subject matter expert on forecast assumptions and methodologies
- Leverage data visualization tools (Tableau, Power BI) to communicate insights effectively
- Utilize forecasting software and statistical tools to improve accuracy and efficiency
- Continuously explore and implement new data sources and analytical techniques to enhance forecasting processes
We are all different, yet we all use our unique contributions to serve patients. The forecasting professional we seek is a data driven individual with these qualifications.
Basic QualificationsDoctorate degree and 2 years of forecasting, analytics or finance experience
OR
Master’s degree and 4 years of forecasting, analytics or finance experience
OR
Bachelor’s degree and 6 years of forecasting, analytics or finance experience
OR
Associate’s degree and 10 years of forecasting, analytics or finance experience
OR
High school diploma / GED and 12 years of forecasting, analytics or finance experience
Preferred Qualifications- Ability to quickly establish credibility with and influence ED/VP level staff
- Knowledge and experience working with industry internal and secondary data sources;…
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