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AI Product Manager, Enterprise Operations

URUS Group
Madison, USA
Full-time
Manager · 3+ years experience
Onsite
Discovered Yesterday
Generative AICommunication

Full Job Posting

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.
  • That Could Set You Apart
  • An advanced degree or relevant certification in product management, AI, data science, business, or change management.
  • Knowledge of agriculture, animal health, dairy, beef, or another data-rich industry.
  • Experience That Could Set You Apart

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