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 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)
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
.
