Amgen is looking to accelerate scientific discovery, streamline R&D workflows, and enable smarter decision-making across a complex biotech environment by leveraging AI products and platforms.
Requirements
- Experience with AI platforms, MLOps, or enterprise AI architecture.
- Deep familiarity with AI (e.g., LLMs, agents, NLP) and ML productization at scale.
- Hands-on ability to analyze product usage, model output quality, or build A/B experiments.
Responsibilities
- Lead Product Ownership for AI Solutions: Act as the Product Owner within an Agile framework, ensuring that AI products meet the needs of customers and align with the organizations strategic goals. This includes defining the vision, roadmap, and priorities for products within the AI portfolio.
- Bridge Technical and Business Strategy: Serve as a key liaison between cross-functional teams, including Business, and external partners. Translate business needs into technical requirements and prioritize initiatives to increase impact.
- Facilitate AI Initiative Progression: Oversee the end-to-end lifecycle of AI and machine learning initiatives from inception thru scale, applying AI PM tools for discovery, prototyping and customer insights.
- Champion Value Acceleration and Scalability: Own the scaling process for AI products, implementing standard methodologies in product and platform scaling to ensure AI solutions are enterprise-ready.
- Own product metrics, usage analytics, and model performance KPIs; iterate based on data and feedback.
- Engage directly with scientists, researchers, and internal stakeholders to deeply understand problems and validate solutions.
Other
- Doctorate degree and 2 years of Information/Tech Systems experience
- Masters degree and 4 years of Information/Tech Systems experience
- Bachelors degree and 6 years of Information/Tech Systems experience
- Associates degree and 10 years of Information/Tech Systems experience
- High school diploma / GED and 12 years of Information/Tech Systems experience
- 8+ years of product management (or related) experience; 5+ years in AI/ML or data-driven enterprise products.
- Strong presentation and public speaking skills with experience communicating to executives
- Familiarity with biotech workflows (e.g., lab automation, computational biology, clinical data, etc).
