Director of Commercial Analytics

• Define and drive the Commercial Analytics strategy for India as a global hub with clear operating principles, methodologies, and delivery standards
• Serve as a strategic thought partner to Commercial and CD&A leadership, shaping how performance is defined and measured
• Design, harmonize, and govern enterprise KPIs with clear definitions and consistent methodologies across portfolio
• Own the intake and prioritization model for commercial analytics work originating in India - aligning resources against enterprise priorities and managing trade-offs with US and global partners
• Establish frameworks that guide how teams translate business needs into analytical approaches, ensuring clarity of decision context and expected outcomes
• Lead commercial performance analytics to proactively identify opportunities, risks, and business drivers - informing portfolio decisions and commercial investment choices
• Integrate insights across forecasting, market research, access, and decision science to deliver unified, cross-functional recommendations
• Communicate insights with clarity and influence, using strong commercial judgment and structured storytelling
• Drive automation, productization, and workflow reusability to reduce manual effort and accelerate decision cycles
• Set the direction for AI-enabled insight generation - enabling automated commentary, predictive signals, and scalable analytics capabilities across markets
• Build and lead a high-performing analytics team in India with capabilities in performance analytics, visualization, and insight generation
• Develop talent through coaching, structured problem solving, and global exposure that strengthens analytical, technical, and stakeholder management skills
• Shape a culture grounded in curiosity, accountability, inclusion, and continuous improvement
• Represent Commercial Analytics as a senior leader at the Amgen India site, contributing to talent development, culture-building, and cross-functional collaboration
• Shape and manage hybrid delivery models - internal teams and vendors - to ensure scalable, high-quality analytics output

• Doctorate degree / Master’s degree with 18+yrs of Industrial experience
• 4 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Reasonable accommodation for individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment