Digital Product Mgr-AI&D

The Digital Product Manager (AI) at Amgen will join the AI & Data Innovation Lab Product Management Team to oversee the lifecycle of digital products. This role focuses on rapidly validating high-potential AI and data-driven business opportunities before major investment, helping the organization determine which initiatives should be scaled, refined, paused, or redirected. You will operate at the intersection of business strategy, AI product innovation, data, and enterprise transformation, providing strategic leadership across cross-functional opportunities.

Key Responsibilities:

• Design and execute rapid discovery sprints, prototypes, pilots, and experiments to assess feasibility, viability, and risk.
• Identify and frame AI-enabled business opportunities, translating transformation themes into clear problem statements and testable hypotheses.
• Assess the application of LLMs, AI agents, machine learning, and NLP to improve operational efficiency and scientific discovery.
• Evaluate data foundations, system integrations, and security controls for scalable AI solutions.
• Partner with engineering and data science teams to align on execution paths and trade-offs.
• Synthesize findings into executive-ready narratives and business cases to inform investment decisions.
• Ensure validation efforts incorporate responsible AI, data privacy, and regulatory compliance.

Required Qualifications

• 8 years of work experience in a related field (minimum requirement based on the 8-13 year range provided).
• Educational requirements vary by experience level: Doctorate; or Master’s degree with 2 years of relevant experience; or Bachelor’s degree with 4 years of relevant experience; or Associate’s degree with 8 years of relevant experience; or High School Diploma/GED with 10 years of relevant experience.

Preferred Qualifications

• 4+ years of product management, strategy, or digital transformation experience.
• 2+ years of experience with AI, machine learning, or enterprise AI solutions.
• Familiarity with biotech workflows, AI productization at scale, and MLOps.
• Strong communication skills with experience presenting to executive leadership.