Ai Platform & Digital Product Manager Neural Nexus (India)

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 current 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 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

23 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:

01 (POCs, rapid prototyping)

1N (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

. .