Senior Manager - Value and Access Insights

About the role

Amgen is hiring a Senior Manager for its Value and Access Insights team within Engineering. You will lead a team in developing and deploying machine learning, operations research, semantic analysis and statistical methods to find patterns in large data sets, creating analytics solutions that meet customer needs and opportunities under the supervision of the Director Value and Access Insights.

Key responsibilities

• Oversee a team of managers, business analysts, data scientists and engineers on AI solution development and deployment.
• Act as business owner for proprietary AI algorithms supporting pricing and overall Gross-to-Net (GTN) programs.
• Build pricing elasticity models, revenue optimization tools, scenario simulators and forecasting models for price setting, competitive entry impact and lifecycle pricing.
• Lead dashboards and pricing impact tools in Tableau, Power BI or similar, and present insights to cross-functional executive leadership.
• Collaborate with US Commercial and Technology functions and manage the AI tool roadmap with a global cross-functional team.
• Lead development of custom applications, intelligent dashboards and automated workflows incorporating AI.
• Oversee a team of 8-10 data scientists, set performance standards, manage staffing and monitor performance.

Required profile

• Master's degree in computer science, statistics or a STEM major with at least 12 years of information systems experience, or a Bachelor's degree with at least 15 years.
• Strong understanding of the US pharmaceutical ecosystem, patient support services (e.g. copay) and standard data sets such as claims and prescriptions.
• Experience leading data science projects and managing large teams.
• Preferred: 3-5 years of pharmaceutical or biotech experience, including GTN, revenue forecasting, product launches and commercial strategy.

Required skills

• Machine learning algorithms and techniques; statistical techniques, regression, clustering and classification.
• R and/or Python.
• NLP for text analysis and sentiment analysis; time-series forecasting.
• Databricks for data analytics and MLOps; AWS, Azure or Google Cloud preferred.