Product Manager, AI Strategy and Enablement - AmerisourceBergen

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Job Details

Job Profile Summary

Under the direction of the VP of Global Products and Technology, the Product Manager, AI Strategy & Enablement is responsible for the AI capabilities and use cases within the enterprise AI portfolio. This role establishes and maintains AI roadmaps in partnership with business, technology, security, and data stakeholders to ensure AI initiatives are prioritized, governed, and scaled in alignment with strategic imperatives.

The Product Manager maintains a broad and current view of AI technologies, enterprise readiness, regulatory considerations, and emerging trends, ensuring AI adoption delivers measurable business value while managing risk.

Primary Duties and Responsibilities

Strategy / Planning

Maintain an understanding of overall business strategy and how AI capabilities and use cases support strategic priorities

Maintain a deep understanding of internal business partners, workflows, and organizational readiness for AI adoption

Partner with business leaders and stakeholders to plan and maintain an AI portfolio roadmap spanning experimentation, pilot, and scaled deployment

Collaborate with enterprise architecture, AI engineering, data, security, and delivery teams to translate business opportunities into well‑scoped and governed AI initiatives

Drive innovation by incorporating emerging AI technologies and solution patterns into the AI roadmap

Interface with internal partners regarding AI strategy, capabilities, value propositions, and usage expectations

Develop and manage AI adoption and enablement strategies across the enterprise

Work with Communications and Technology leaders to establish clear messaging that promotes responsible AI understanding and adoption

Define, track, and communicate business value metrics for AI initiatives, including ROI assumptions, realized value, and operating costs

Partner with Technology, Security, Legal, and Compliance to define and maintain AI governance standards, guardrails, and operating agreements

Manage capital investment planning to support AI experimentation, platform investments, and scaled deployments

Consider risk and risk management in the design, deployment, and operation of AI capabilities

Associate Management

Build and manage product or portfolio specialists supporting AI use‑case intake and value tracking, as appropriate

Foster a culture of learning, innovation, and responsible experi