Director of Artificial Intelligence (AI)

URUS Group•Madison, WI

21h

About The Position

URUS is seeking a Director of Artificial Intelligence (AI) to build and lead its enterprise AI capability. This role reports to the SVP of Digital & AI and is responsible for establishing the structure, team, governance, and priorities to leverage AI opportunities for business outcomes across the global organization. The position offers a unique opportunity to build an AI center of excellence with strong executive sponsorship and a growing pipeline of opportunities.

Requirements

10+ years of progressive experience across AI, data, digital transformation, product, technology, or enterprise transformation.
5+ years leading AI, data, analytics, automation, or digital product initiatives.
Demonstrated experience building, scaling, or transforming an enterprise technology or AI capability.
Proven leadership experience, including building teams and leading complex cross-functional initiatives.
Experience taking AI or advanced analytics solutions from concept through production and adoption.
Strong working knowledge of modern AI/ML, including generative AI, LLMs, agentic AI, predictive analytics, and enterprise AI platforms.
Experience establishing governance, prioritization, and value-tracking processes.
Strong business judgment and the ability to connect technology investments to measurable business outcomes.
Executive-level communication and the ability to lead change across a complex organization.
Bachelor's degree in computer science, data science, business, engineering, or a related field.

Nice To Haves

An MBA or advanced technical degree is strongly preferred.
Experience in agriculture, dairy, genetics, animal health, or precision livestock technology is a plus.

Responsibilities

Build and lead URUS's enterprise AI capability and growing multidisciplinary AI team.
Define and execute the enterprise AI strategy, roadmap, operating model, and governance framework.
Establish a structured process for identifying, evaluating, and prioritizing AI opportunities across the organization.
Partner with business leaders to turn high-value opportunities into scalable AI solutions.
Lead initiatives from discovery and pilot through production, adoption, and measurable business impact.
Provide technical direction across generative AI, agentic AI, predictive analytics, computer vision, automation, and emerging capabilities.
Guide AI platform, vendor, and build/buy/partner decisions.
Establish responsible AI standards and appropriate controls around privacy, security, risk, and governance.
Manage AI investments and ensure resources are focused on opportunities with the greatest potential value.
Build AI understanding and adoption across the organization through education, experimentation, and change leadership.