AI Product Strategy Lead for Enterprise AI

BioSpace; Washington (District of Columbia); On-site; USD 170,000 - 230,000; Full time

Job summary

Amgen is seeking an AI Digital Product Sr Manager - AI Studio to lead a cross-functional team delivering AI-powered applications that accelerate scientific discovery and streamline R&D workflows. You will translate AI capabilities into production-ready enterprise solutions, balancing rapid experimentation with enterprise quality.

The role requires strong collaboration with engineering, data science, UX, and business teams, and a track record of delivering AI products in 2-6 month cycles with

Qualifications

• Master's degree and 6 years of Information/Technology Systems experience OR
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Responsibilities

• Lead AI Product Strategy and Delivery for a portfolio of AI applications and intelligent agents.
• Evaluate and prioritize AI opportunities based on value, feasibility and impact.
• Drive Customer Discovery with scientists, researchers, and end users to identify high-value opportunities.
• Bridge business needs to product requirements with engineering, AI engineering, data science, UX, and external partners.
• Deliver and scale AI products from opportunity to deployment with rapid experimentation and iteration.
• Measure success via KPIs: adoption, usage, satisfaction, model quality, reliability, latency, business impact.

Skills

AI product strategy

Cross-functional leadership

Cloud platforms

APIs

Stakeholder management

Critical thinking

Communication

Team collaboration

Education

Master's degree + IT experience

Bachelor's degree + IT experience

Diploma + IT experience

Job description

Amgen is seeking an AI Digital Product Sr Manager - AI Studio to lead a cross-functional team delivering AI-powered applications that accelerate scientific discovery and streamline R&D workflows. You will translate AI capabilities into production-ready enterprise solutions, balancing rapid experimentation with enterprise quality.

The role requires strong collaboration with engineering, data science, UX, and business teams, and a track record of delivering AI products in 2-6 month cycles with