Senior AI Platform & Product Lead

Terumo Blood and Cell Technologies; Lakewood (CO); On-site; USD 139,300 - 174,100; Full time

Job summary

Terumo Blood and Cell Technologies is seeking a Senior AI Portfolio Manager to define the direction of multiple AI products and drive adoption for enterprise AI platforms. You will translate customer needs into a prioritized roadmap, align cross-functional stakeholders, and ensure capabilities are trusted, usable, and scalable in a regulated environment.

The role emphasizes collaboration with engineering, governance, and compliance partners to deliver enterprise-ready AI, with a focus on

Qualifications

• Bachelor's degree in Business, Engineering, Computer Science, or related field.
• Minimum 4 years owning or leading enterprise-scale products or platforms.
• Experience leading adoption and change management for new capabilities (enablement, rollout planning, feedback loops).
• Experience collaborating with Engineering and Infrastructure teams to deliver features.

Responsibilities

• Owns product vision, roadmap, and prioritization for AI platform capabilities used across teams.
• Leads discovery with stakeholders to identify high-value problems and translate needs into requirements.
• Establishes backlog and delivery plan, sequencing work by impact, feasibility, risk, and readiness.
• Partners with engineering to ensure scalable, maintainable enterprise solutions.

Skills

Prioritization & tradeoffs

Stakeholder communication

Executive communication

AI & med-tech compliance

Cross-functional influence

Team collaboration

Technical collaboration

Education

Bachelor's degree in Business, Engineering, CS, or related field

Job description

Terumo Blood and Cell Technologies is seeking a Senior AI Portfolio Manager to define the direction of multiple AI products and drive adoption for enterprise AI platforms. You will translate customer needs into a prioritized roadmap, align cross-functional stakeholders, and ensure capabilities are trusted, usable, and scalable in a regulated environment.

The role emphasizes collaboration with engineering, governance, and compliance partners to deliver enterprise-ready AI, with a focus on