Skip to main content
Amgen logo
Amgen

Digital Product Manager

5 day weekGenerous PTOOnsite · Hyderabad, India

Career Category

Information Systems

Job Description

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

.

Apply now