Manager

• Lead AI Product Strategy and Ownership
• Serve as Product Owner for AI and digital innovation initiatives within an Agile framework.
• Define and evolve the vision, roadmap, and success metrics for Amgen’s AI product portfolio, ensuring alignment with enterprise priorities and scientific rigor.
• Drive rapid experimentation and iterative validation, enabling accelerated learning while minimizing exposure to technical or operational risks.
• Act as a strategic integrator between technology, data science, and business functions to ensure AI investments deliver high-value outcomes.
• Translate business opportunities into actionable AI use cases with clear hypotheses, value targets, and risk mitigation plans.
• Partner with ATMOS, Business Technology Leaders, and external collaborators to operationalize and scale trusted AI systems.
• Oversee the end-to-end progression of AI initiatives — from concept incubation and proof-of-value to enterprise scaling.
• Champion AI governance and compliance-by-design, embedding data quality, model robustness, and ethical AI principles.
• Implement frameworks for continuous de-risking, addressing challenges such as data drift, bias, or integration complexity early in development.
• Establish repeatable patterns for scaling AI products through Amgen’s enterprise model, ensuring they are reliable, interpretable, and compliant.
• Introduce quantitative risk assessment tools and decision gates to evaluate readiness for scale.
• Balance speed and safety — driving innovation with accountability and resilience.
• Maintain an understanding of the AI and emerging technology landscape, assessing opportunities and risks of adoption.
• Advise on technology selection and partnerships, focusing on solutions that improve strategic advantage while minimizing technical debt and exposure.
• Provide evidence-based insights to guide AI investment prioritization and platform evolution.
• Design and lead change management strategies that promote adoption of AI tools across Amgen’s enterprise.
• Embed user feedback loops and education programs to ensure AI capabilities are trusted, intuitive, and impactful.
• Partner with Communications and Learning teams to cultivate a culture of AI fluency and responsible innovation.
• Deliver clear, data-driven reporting on initiative progress, value realization, and risk posture to leadership and governance bodies.
• Serve as a trusted thought partner, fostering transparency and cross-functional alignment across all AI innovation streams.

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