Neural Nexus (NN)is Amgens 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 Amgens 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 to optimize delivery 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

- Identify opportunities to enhance capabilities through improved design or new AI approaches

Preferred Qualifications :

- Bachelors degree in AI/ML, Data Science, Computer Science, Analytics, Engineering, or related discipline.

- Minimum 5 years of experience in Pharma/Biotech commercial operations, analytics and 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 :

a. 01 (POCs, rapid prototyping)

b. 1N (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

- Experience operating in a global delivery model

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

- Excellent communication skills across technical and business audiences

Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.