Description
**What You Will Do**
Let’s do this. Let’s change 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 of **AI Platform & Product** **Manager** **– Neural Nexus** , you will be responsible for **executing and scaling key components of the Neural Nexus (NN) platform roadmap** , supporting Amgen’s enterprise AI platform across Commercial, Medical, and AI&D functions.
This role is focused on translating defined platform priorities into **scalable, user-centric, and production-ready solutions** , ensuring capabilities are designed, built, and integrated effectively within the broader platform. You will lead delivery of both **high-impact experiences** (e.g., executive cockpit/command center) and **platform 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 with Neural Nexus peers, 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 from **POC 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 experience **executing 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 of **Generative AI / LLM-based applications** , including agentic workflows
+ Experience working with **engineering and data science teams** to deliver AI-powered solutions
+ Experience driving **system integration and platform interoperability**
+ Strong product mindset with focus on **usability, reuse, and business impact**
+ Ability to translate business requirements into execution plans and drive delivery across cross-functional teams
+ Experienceoperatingin a **global delivery model**
+ Strong execution, problem-solving, and stakeholder management skills
+ Excellent communication skills across technical and business audiences
