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Amgen Logo Amgen · IT - Software Development

Product Manager

India, Hyderabad · Job Posted May 30, 2026
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Job Description

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.

Job Responsibility

  • 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
  • Determine how solutions are structured, built, and scaled within defined platform guardrails
  • Lead development of key platform experiences (e.g., AI-powered Executive Command Center, 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
  • Drive integration with enterprise data products, existing digital tools and platforms, 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
  • 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
  • Identify and resolve risks, dependencies, and bottlenecks
  • 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
  • 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

Requirements

  • 8 years of experience in Pharma/Biotech commercial operations, analytics and reporting experience
  • 5-7 years of experience in analytics, data, AI/ML, or technology delivery roles
  • 8-13 years 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) and 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
  • prior experience in digital product management roles
  • 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

Nice to have

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

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