Amgen, a leading biopharmaceutical company, is seeking a Technology Strategy & Innovation Senior Manager to lead its AI and digital innovation initiatives. This role acts as the Product Owner for Amgen’s AI product portfolio, responsible for defining the vision, roadmap, and ensuring that AI investments are strategically aligned, scientifically rigorous, and ethically governed.

• Location: United States – Remote
• Salary Range: $156,528.00 – $189,422.00 USD
• Experience: 3+ years working at the intersection of AI/ML and business functions.
• Focus: AI Product Strategy, Governance/Compliance-by-Design, Risk Assessment (data drift, bias), and driving enterprise-wide AI adoption in a biopharma context.

Key Responsibilities: Strategy, Governance, and Lifecycle Ownership

The manager’s primary function is to integrate AI capabilities into the business while managing the inherent complexity and risk of the technology within a highly regulated industry.

• 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 the AI product portfolio.
  • Drive rapid experimentation and iterative validation while minimizing technical and operational risks.
• Bridge AI Strategy and Business Impact:
  • Act as a strategic integrator between technology, data science, and business functions.
  • Translate business opportunities into actionable AI use cases with clear value targets and risk mitigation plans.
• Orchestrate the AI Innovation Lifecycle:
  • Oversee the progression of AI initiatives from concept incubation to enterprise scaling.
  • Champion AI governance and compliance-by-design, embedding data quality, model robustness, and ethical AI principles.
• Accelerate Value While De-Risking Delivery:
  • Establish repeatable patterns for scaling AI products to be reliable, interpretable, and compliant.
  • Introduce quantitative risk assessment tools and decision gates.
• Change Management: Design and lead change management strategies to promote adoption of AI tools and cultivate a culture of AI fluency across the enterprise.

Required Qualifications: AI/ML and Business Acumen

Success requires technical knowledge of AI/ML combined with proven experience translating technology into business value within a regulated setting.

• Education: Bachelor’s degree in Engineering, Computer Science, Data Science, AI/ML, or a related field. (Advanced degree preferred).
• Experience: 3+ years of experience working at the intersection of AI/ML and business functions, with a track record of delivering measurable outcomes.
• Technical Skills: Hands-on experience with AI/ML tools, technologies, and platforms, and a solid understanding of data ecosystems.
• Industry (Preferred): Familiarity with regulatory requirements and data privacy considerations in biopharma.