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Technology Strategy & Innovation Senior Manager

Amgen
Full-time
Remote friendly (United States)
United States
Corporate Functions

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Role Summary

Technology Strategy & Innovation Senior Manager at Amgen. Lead AI product strategy, ownership, and governance to transform AI initiatives into high-value, scalable solutions that align with enterprise priorities and scientific rigor. Drive rapid experimentation, adoption, and change management across the organization, bridging technology, data science, and business functions.

Responsibilities

  • 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.
  • Bridge AI Strategy and Business Impact
  • 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.
  • Orchestrate the AI Innovation Lifecycle
  • 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.
  • Accelerate Value While De-Risking Delivery
  • 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.
  • Generate Strategic Foresight and Technology Intelligence
  • 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.
  • Enable Adoption and Change Management
  • 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.
  • Communicate with Transparency and Influence
  • 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.

Qualifications

  • Required: Bachelor’s degree in a relevant field such as Engineering, Computer Science, Data Science, AI/ML, or a related field.
  • Required: 3+ years of experience working at the intersection of AI/ML and business functions, with a track record of delivering measurable outcomes.
  • Required: Hands-on experience with AI/ML tools, technologies, and platforms, as well as a solid understanding of data ecosystems.
  • Preferred: Advanced degree (e.g., Master’s or PhD) in Engineering, Computer Science, Data Science, AI/ML, or a related discipline.
  • Preferred: Experience partnering with external technology providers to deliver AI solutions.
  • Preferred: Familiarity with regulatory requirements and data privacy considerations in biopharma.
  • Preferred: Track record of working on AI projects that align with organizational goals.
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