AI Platform & Digital Product Manager– Neural Nexus
Amgen · Hyderabad, Telangana, India
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- On site
- Full-time
- $150,000 / year
- Hyderabad, Telangana, India
Job highlights
- Manage enterprise AI platform roadmap execution.
- Lead development of AI-powered user experiences.
- Drive integration of AI solutions with enterprise systems.
- Ensure adoption and measurable business value realization.
- Collaborate globally across diverse teams.
About the role
AI Platform & Digital Product Manager – Neural Nexus
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, 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 and platform capabilities.
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 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
- 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.
- 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.
- 5-8 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.
- 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.
Key skills/competency
- AI Platform & Digital Product Manager
- Neural Nexus
- Generative AI
- LLM
- Agentic Workflows
- Platform Roadmapping
- Product Delivery
- Cross-functional Collaboration
- Data Science
- Product Management
Skills & topics
- AI Platform Manager
- Digital Product Manager
- Neural Nexus
- Generative AI
- LLM
- Agentic Workflows
- Product Management
- AI/ML
- Platform Strategy
- Amgen
- Pharma
- Biotech
- Technology Delivery
- Global Delivery
How to get hired
- Tailor your resume: Highlight AI, product management, and Amgen-specific qualifications.
- Craft a compelling cover letter: Showcase your understanding of Amgen's mission and the Neural Nexus initiative.
- Prepare for technical interviews: Be ready to discuss AI/ML, GenAI, LLMs, and platform scaling strategies.
- Demonstrate cross-functional skills: Emphasize experience in stakeholder management and global collaboration.
- Research Amgen's culture: Understand their commitment to innovation and patient impact.
Technical preparation
Understand GenAI and LLM capabilities deeply.,Practice explaining AI/ML solution architectures.,Prepare case studies on platform scaling.,Review data integration and system interoperability concepts.
Behavioral questions
Describe a complex product launch you managed.,How do you handle conflicting stakeholder priorities?,Give an example of driving adoption for a new technology.,How do you ensure reusability in platform design?
Frequently asked questions
- What is the Neural Nexus initiative at Amgen?
- Neural Nexus (NN) is Amgen's enterprise initiative focused on developing and scaling generative and agentic AI solutions across its Commercial, Medical, and analytics functions.
- What are the primary responsibilities of an AI Platform & Digital Product Manager at Amgen?
- The role involves executing and scaling the Neural Nexus platform roadmap, translating platform priorities into user-centric solutions, leading the delivery of key experiences and capabilities, and ensuring effective integration and adoption across Amgen's functions.
- What type of AI experience is required for this role?
- A strong understanding of Generative AI / LLM-based applications, including agentic workflows, is essential. Experience working with AI/ML models and data science teams is also key.
- What is the expected experience level for this AI Platform & Digital Product Manager position?
- The role requires 5-8 years of experience in digital platform product management, AI/ML-driven solutions, or enterprise digital product development, with 2-3 years specifically in analytics, data, AI/ML, or technology delivery.
- Does Amgen offer opportunities for global collaboration in this role?
- Yes, this role operates within a global delivery model, requiring close collaboration with international teams to ensure consistent execution and delivery across distributed functions.
- What are the key qualifications for an AI Platform & Digital Product Manager at Amgen?
- Qualifications include a relevant Bachelor's degree, significant experience in digital platform product management and AI/ML solutions, a strong product mindset, and excellent communication and stakeholder management skills.
- How does Amgen ensure the adoption and value of its AI solutions?
- Amgen focuses on embedding solutions into business workflows, tracking adoption and performance metrics, and partnering with change management and training teams to drive measurable impact and optimize outcomes.