AI Product Manager, Enterprise Operations

• What You’ll Do
• Partner with business leaders and functional teams to uncover operational challenges, inefficiencies, and opportunities where AI could create value.
• Evaluate and prioritize AI opportunities based on business impact, technical feasibility, data readiness, risk, adoption effort, and strategic alignment.
• Develop clear problem statements, business cases, product requirements, user stories, acceptance criteria, and success measures.
• Own and continuously refine the AI product roadmap and opportunity backlog, ensuring work is appropriately prioritized, sequenced, and ready for execution.
• Guide AI-enabled solutions from discovery and experimentation through proof of concept, MVP, production release, adoption, measurement, and iteration.
• Collaborate with AI engineers, data scientists, architects, project managers, business stakeholders, and external partners to design and deliver effective solutions.
• Assess data readiness, governance, privacy, security, model quality, implementation risk, and long-term support needs before solutions move into production.
• Lead adoption efforts through stakeholder engagement, communication, education, training, documentation, and feedback.
• Establish performance measures that connect AI initiatives to outcomes such as operational efficiency, cost savings, quality, user adoption, and business impact.
• Communicate priorities, progress, risks, tradeoffs, ROI, and recommendations to business and technology leaders.
• What You’ll Bring
• Bachelor’s degree in business, technology, computer science, data science, engineering, or a related field, or equivalent relevant experience.
• At least three years of experience in product management, business transformation, process improvement, technology implementation, or a related role.
• Experience delivering AI/ML-enabled products, workflows, automation, or internal tools from discovery through implementation and adoption.
• Product ownership experience, including managing roadmaps and backlogs, writing user stories, defining acceptance criteria, and prioritizing work.
• Demonstrated ability to analyze business processes, identify improvement opportunities, and translate needs into practical technology solutions.
• Experience developing business cases and measuring outcomes such as ROI, cost savings, productivity, quality, or user adoption.
• Experience leading cross-functional initiatives involving both business and technical stakeholders.
• Experience supporting organizational change through adoption planning, training, communications, and feedback.
• Practical knowledge of generative AI, large language models, AI-enabled automation, and emerging agentic capabilities.
• Strong communication skills and the ability to make complex technology concepts understandable to nontechnical audiences.
• Experience That Could Set You Apart
• An advanced degree or relevant certification in product management, AI, data science, business, or change management.

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