
10,000+ employees
Founded 1980
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
💰 $28.5G Post-IPO Debt on 2022-12
Biotechnology • Pharmaceuticals • Science
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
🕒 May 30
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10,000+ employees
Founded 1980
🧬 Biotechnology
💊 Pharmaceuticals
🔬 Science
💰 $28.5G Post-IPO Debt on 2022-12
Biotechnology • Pharmaceuticals • Science
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
• 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. • 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. • 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. • Oversight of one contingent worker.
• Doctorate 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 • Ability to quickly establish credibility with and influence ED/VP level staff • Knowledge and experience working with industry internal and secondary data sources; experience doing analog and uptake curve analysis • Proficiency in advanced forecasting techniques, statistical modeling and data analysis • Highly skilled in working collaboratively in a team-based environment and gaining alignment across an organization • High level of proficiency in Excel, PowerPoint and Power BI • Excellent communication skills with the ability to present complex data and insights to both technical and non-technical stakeholders • Partnership with business leaders to deliver high-quality predictions guiding strategic decision-making • Ability to interpret and analyze data trends, identify patterns and make data-driven decisions • Experience with Monte Carlo analysis and statistical trending.
• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • group medical, dental and vision coverage • life and disability insurance • flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible.
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