AI Platform & Digital Product Manager– Neural Nexus

What You Will Do

Let’sdo this.Let’schange the world!

Neural Nexus (NN)is Amgen’s enterprise AI initiative that powers the development and scaling of generative and agentic AI solutions across Commercial, Medical, and analytics functions. 

In this vital role ofAI Platform & ProductManager– Neural Nexus, you willbe responsible forexecuting and scaling key components of the Neural Nexus (NN) platform roadmap, supporting Amgen’s enterprise AI platform across Commercial,Medical, and AI&Dfunctions.

This role is focused on translating defined platform priorities intoscalable, user-centric, and production-ready solutions, ensuring capabilities are designed, built, and integrated effectively within the broader platform. You will lead delivery of bothhigh-impact experiences(e.g., executive cockpit/command center) andplatform capabilities(e.g., integrations, reusable services, and new persona solutions such as Analytics and Execution workspaces).

Operating within a global delivery model, you will partner closely withNeural Nexuspeers,Technology, AI&D, and business teams to ensure consistent execution, rapid iteration, and measurable business value.

Key Responsibilities

Platform Execution & Delivery

• Execute against the Neural Nexus platform roadmap, translating priorities into scalable, high-quality platform capabilities 

  
  

• Own end-to-end delivery from design through deployment and iterative enhancement 

  
  

• Determinehow solutions are structured, built, and scaled within defined platform guardrails 

  
  

Experience Development & Scaling

• Lead development of key platform experiences (e.g.,AI-powered ExecutiveCommandCenter,Analytics Workspaces) with a focus on usability, performance, and adoption 

  
  

• Drive solutions fromPOC to production, ensuring scalability, reuse, and alignment with platform standards 

  
  

• Leverage GenAI/LLM-powered capabilities and agent-based workflows to deliver intelligent solutions 

  
  

• Continuously refine capabilities based on user feedback and usage insights 

  
  

Platform Integration & Reuse

• Drive integration with enterprise data systems, AI/ML models, and external tools 

  
  

• Partner with Technology and AI&D to align with architecture, data, and GenAI standards 

  
  

• Promote modular, reusable components to accelerate scaling and reduce duplication 

  
  

Cross-Functional Execution

• Translate business needs into clear execution plans, aligning stakeholders on scope, timelines, and outcomes 

  
  

• Coordinate across global teams to ensure consistent delivery across a distributed model 

  
  

• Identifyand resolve risks, dependencies, and bottlenecks 

  
  

Adoption & Value Realization

• Ensure solutions are embedded into business workflows and drive measurable impact 

  
  

• Track adoption, usage, and performance metrics tooptimizedelivery outcomes 

  
  

• Partner with change management and training teams to support adoption 

  
  

Continuous Improvement

• Iterate on platform capabilities based on feedback and performance data 

  
  

• Contribute to platform playbooks, standards, and best practices 

  
  

• Identifyopportunities to enhance capabilities through improved design or new AI approaches 

  
  

Preferred Qualifications

• Bachelor’s degree in AI/ML, Data Science, Computer Science, Analytics, Engineering, or related discipline.

  
  

• Minimum 5 years of experience in Pharma/Biotech commercialoperations,analyticsand reporting experience

  
  

• 2–3 years of experience in analytics, data, AI/ML, or technology delivery roles.

  
  

• 5-8years of experience in digital platform product management, AI/ML-driven solutions, or enterprise digital product development 

  
  

• Proven experienceexecuting and scaling platform or product initiatives, delivering production-ready solutions 

  
  

• Experience delivering across: 

  
  

• 0→1 (POCs, rapid prototyping)

  
  

• 1→N (scaling, enterprise rollout)

  
  

• Strong understanding ofGenerative AI / LLM-based applications, including agentic workflows 

  
  

• Experience working withengineering and data science teamsto deliver AI-powered solutions 

  
  

• Experience drivingsystem integration and platform interoperability

  
  

• Strong product mindset with focus onusability, reuse, and business impact

  
  

• Ability to translate business requirements into execution plans and drive delivery across cross-functional teams 

  
  

• Experienceoperatingin aglobal delivery model

  
  

• Strong execution, problem-solving, and stakeholder management skills 

  
  

• Excellent communication skills across technical and business audiences