Padmi
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Amgen

biotechnology · human therapeutics

Product Manager

HyderabadPosted 2 months ago
Product And Program ManagementUnspecified
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Career Category Information Systems Job 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

Determine how solutions are structured, built, and scaled within defined platform guardrails

Experience Development & Scaling Lead development of key platform experiences (e.g., AI-powered E xecutive C ommand C enter , Analytics W orkspace s ) 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 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

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

Identify and 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

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

  • 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)

  • 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

  • .

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