Technology Strategy & Innovation Senior Manager

Role Summary

Technology Strategy & Innovation Senior Manager at Amgen. Lead AI product strategy, governance, and lifecycle to accelerate AI-driven value while mitigating risk. Serve as strategic integrator between technology, data science, and business functions to deliver high-value AI outcomes.

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 increase 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

• Bachelor’s degree in a relevant field such as Engineering, Computer Science, Data Science, AI/ML, or a related field.
• 3+ years of experience working at the intersection of AI/ML and business functions, with a track record of delivering measurable outcomes.
• Strong domain expertise in the Operations function.
• Hands-on experience with AI/ML tools, technologies, and platforms, as well as a solid understanding of data ecosystems.

Education

• Preferred: Advanced degree (e.g., Master’s or PhD) in Engineering, Computer Science, Data Science, AI/ML, or a related field.

Skills

• AI product management
• Strategic thinking and technology forecasting
• Change management and stakeholder influence
• Governance, risk management, and compliance-by-design
• Collaboration with internal teams and external partners
• Data quality, model robustness, and ethical AI principles

Additional Requirements

• Experience partnering with external technology providers to deliver AI solutions.
• Familiarity with regulatory requirements and data privacy considerations in biopharma.