Description
In this vital role of **Manager, Agentic AI Business Solutions, Neural Nexus,** you will be responsible for executing and scaling Agentic AI solutions within the Neural Nexus (NN) platform, supporting Amgen’s global commercial and analytics functions. This role is focused on hands-on delivery, operationalization, and continuous enhancement of GenAI-powered capabilities, ensuring solutions are deployed efficiently, integrated seamlessly, and adopted effectively across global business teams.
You will work closely with global stakeholders across GCCI, Commercial, AI&D, and Technology teams to translate business requirements into scalable Agentic AI solutions. Operating within a global delivery model, you will coordinate across geographies to ensure consistent execution, rapid iteration, and high-quality delivery of AI capabilities that drive measurable business value.
This role is ideal for a technically strong and execution-focused person who thrives in building, deploying, and scaling AI-driven solutions in a fast-paced, globally distributed environment and has worked in a commercial organization before.
**Key Responsibilities**
**Strategic Leadership & Roadmap Development**
+ Execute against a defined Agentic AI delivery roadmap aligned to Neural Nexus priorities, focusing on scalable, reusable solutions that support global commercial use cases.
+ Break down business requirements into executable user stories, tasks, and sprint plans aligned to global priorities.
+ Support prioritization discussions by providing clear input on effort, dependencies, and delivery feasibility across workstreams.
+ Continuously identify opportunities to standardize and reuse components to accelerate execution and reduce duplication.
**End-to-End Management of NN Platform Lifecycle**
+ Own execution of Agentic AI solutions—from intake and design through development, testing, deployment, and post-launch support—ensuring high-quality and timely delivery.
+ Partner with AI&D and Engineering teams to enable development of GenAI agents, ensuring solutions meet defined performance, scalability, and reliability standards.
+ Drive day-to-day agile execution, including sprint planning, backlog grooming, stand-ups, and release coordination across global teams.
+ Lead hands-on coordination of UAT, defect resolution, access setup, and production deployment activities.
+ Implement monitoring and alerting mechanisms to proactively identify and resolve performance or usage issues post-deployment.
**Cross-Functional Team Orchestration & Collaboration**
+ Operate within a global delivery model, coordinating closely with US-based business teams, BAI, AI&D, and Technology to ensure seamless execution across time zones.
+ Serve as a key liaison between business stakeholders and technical teams, translating requirements into scalable technical solutions and ensuring alignment on scope and timelines.
+ Collaborate with data, platform, and governance teams to ensure solutions adhere to enterprise data standards, compliance requirements, and architectural guidelines.
+ Support cross-functional pods or delivery squads to accelerate development and deployment of prioritized Agentic AI capabilities.
**Executive Stakeholder Management & Strategic Communication**
+ Provide clear and structured updates on delivery progress, risks, and milestones to global stakeholders and program leadership.
+ Clearly communicate solution readiness, limitations, and expected outcomes to ensure alignment prior to deployment.
+ Escalate risks and delays proactively, ensuring minimal impact to committed delivery timelines.
**Driving Platform Adoption & Value Realization**
+ Drive immediate post-deployment adoption through hands-on support, user training, and troubleshooting for global teams.
+ Track usage, adoption, and performance metrics to ensure solutions are actively used and delivering intended value.
+ Quickly iterate on deployed solutions based on user feedback, improving usability, accuracy, and workflow integration.
+ Embed solutions directly into business workflows to eliminate manual processes and increase execution efficiency.
**Change Management & Continuous Improvement**
+ Execute change enablement activities as part of delivery, including user onboarding, documentation, and readiness support.
+ Capture real-time user feedback and system performance data to drive rapid iteration and enhancement cycles.
+ Standardize delivery playbooks, templates, and best practices to improve speed and consistency across deployments.
+ Continuously improve execution processes to increase delivery velocity, quality, and scalability within the global model.
**Preferred Qualifications**
+ Bachelor’s degree and relevant experience in AI/ML, Data Science, Analytics, Engineering, or related discipline.
+ Experience working with commercial life sciences organization.
+ Experience delivering AI/ML or Generative AI solutions in a production environment, preferably within commercial, analytics, or enterprise platforms.
+ Hands-on experience with GenAI use cases such as automation agents, LLM-powered workflows, or decision-support tools.
+ Experience working in a global delivery model, collaborating with geographically distributed teams and stakeholders.
+ Ability to translate business requirements into technical execution plans and manage delivery across cross-functional teams.
+ Strong program and delivery management skills, including agile methodologies, dependency management, and risk mitigation.
+ Communication & Interpersonal Skills: Strong ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
+ Problem-Solving & Execution Focus: Ability to manage multiple priorities, troubleshoot delivery challenges, and drive outcomes in a matrixed organization.
+ Ethical Standards: Commitment to responsible AI use, compliance, and data integrity.
+ Experience working with global stakeholders in a regulated industry environment preferred.
