AI Product Manager, Enterprise Operations

URUS is a global family of agricultural businesses at the heart of the dairy and beef industry. Operating in more than 80 countries we unite expertise in genetics reproduction technologies animal health and precision-management data to advance our vision: Better Cows for a Better World.

Reporting to the Director of Artificial Intelligence the AI Product Manager Enterprise Operations will turn complex business challenges into practical responsible and measurable AI-enabled solutions. You will partner with leaders across Commercial Finance People and other corporate functions to identify high-value opportunities prioritize use cases develop business cases and guide solutions from discovery through adoption and performance measurement. This role brings together product management process improvement and change leadership with the practical AI knowledge needed to assess value and risk ask the right questions and collaborate effectively with technical teams.

What Youll 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 Youll Bring

• Bachelors 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.

• Knowledge of agriculture animal health dairy beef or another data-rich industry.