Manager - Commercial Analytics & AI Enablement (Sr Data Scientist)

Career Category Operations Job Description The Commercial Analytics team at Amgen serves as a strategic partner to Commercial leadership. It delivers rigorous analyses and data-driven insights that drive US commercial performance. This role is part of Amgen's growing analytics capability in India. It works closely with US-based Commercial and Global Customer Capabilities Innovation teams to advance how artificial intelligence is applied to insight generation and decision-making across the enterprise. As Commercial Analytics Manager for AI Innovation & Enablement, you will be accountable for defining and executing the team's AI strategy across the commercial portfolio. You will partner with the leadership to set priorities, govern the delivery of AI solutions, and ensure that each capability creates measurable business value while meeting the highest standards of quality and compliance. You will guide the work of Senior Associates and analysts and act as the primary point of contact for cross-functional AI partnerships. The role requires deep commercial analytics expertise, technical fluency in AI, sound judgment, and the ability to lead change without direct authority. Live | What you will do 1. AI Strategy, Roadmap & Portfolio Prioritization Define and maintain the team's AI roadmap in partnership with the Leadership team, aligning initiatives with US commercial priorities and enterprise AI direction. Identify, assess and prioritize cross-portfolio AI use cases based on business value, feasibility, data readiness and risk. Translate US business questions into structured AI solution approaches with clear objectives, success criteria and value measures. Assess emerging AI technologies, platforms and industry practices, and recommend which to adopt and where. 2. Solution Delivery & Platform Leadership Lead end-to-end delivery of AI initiatives, from proof of concept to production, while guiding Senior Associates and analysts on design, build and execution. Shape a reusable AI platform and asset library, including agents, prompt frameworks, code modules and workflow accelerators, that can scale across brands and teams. Work with Information Systems, data engineering and platform teams to connect AI solutions to governed commercial data sources such as claims, specialty pharmacy, CRM and other secondary data. Ensure solutions are documented, maintainable and set up for long-term ownership and handover. 3. Quality, Governance & Responsible AI Establish and own the quality framework for AI-enabled analytics, covering validation standards, evaluation methods, human-in-the-loop review and ongoing performance monitoring. Ensure that AI-generated insights are accurate, reproducible, traceable to source data, and fit for use by senior stakeholders. Ensure all AI work complies with Amgen's responsible AI principles, data privacy requirements, and applicable legal, regulatory and compliance SOPs across internal teams and vendor partners.