AI Product Manager, Enterprise Operations

Trans Ova Genetics•Madison, WI

About The Position

URUS is a global family of agricultural businesses operating in more than 80 countries and working across genetics, reproduction technologies, animal health, and precision-management data. The AI Product Manager, Enterprise Operations turns complex business challenges into practical, responsible, and measurable AI-enabled solutions. Reporting to the Director of Artificial Intelligence, this role partners 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. The role combines product management, process improvement, and change leadership with practical AI knowledge. It assesses value and risk, collaborates with technical teams, and helps ensure AI-enabled solutions are adopted and deliver measurable business outcomes.

Requirements

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.
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 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 ability to explain complex technology concepts to nontechnical audiences.

Nice To Haves

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.

Responsibilities

Partner with business leaders and functional teams to identify operational challenges, inefficiencies, and opportunities where AI could create value.
Evaluate and prioritize AI opportunities according to business impact, technical feasibility, data readiness, risk, adoption effort, and strategic alignment.
Develop problem statements, business cases, product requirements, user stories, acceptance criteria, and success measures.
Own and refine the AI product roadmap and opportunity backlog, prioritizing, sequencing, and preparing work 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 solutions.
Assess data readiness, governance, privacy, security, model quality, implementation risk, and long-term support needs before production.
Lead adoption through stakeholder engagement, communication, education, training, documentation, and feedback.
Establish performance measures tied to operational efficiency, cost savings, quality, user adoption, and business impact.
Communicate priorities, progress, risks, tradeoffs, ROI, and recommendations to business and technology leaders.