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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 experimentation

• Mentor product team members on communication, prioritization, and decision‑making

• Comply with all policies, procedures, safety rules, and regulations

• Perform related duties as assigned

Qualifications

Experience

• 10+ years in technology, data, or platform leadership roles

• 5+ years working with AI/ML or advanced analytics in enterprise environments

• Demonstrated experience building operating models, governance frameworks, or CoEs

Skills & Attributes

• Strong strategic and systems thinker with pragmatic execution mindset

• Comfortable navigating ambiguity