AI Platform & Digital Product Lead – Neural Nexus

About the role

Job Title: AI Platform & Digital Product Lead – Neural Nexus
Job Location: Hyderabad, Telangana, India
Job Location Type: On Site
Job Contract Type: Full time
Job Seniority Level:
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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