URUS Group · 6 hours ago
AI Product Owner
Madison, WI
Full-time
Onsite
Senior Level
5+ years expURUS Group is seeking a strategic and innovative Artificial Intelligence Product Owner to lead their corporate AI transformation. This role involves developing and executing an enterprise AI strategy, fostering an AI-first culture, and identifying high-value use cases for AI technologies. The ideal candidate should possess deep AI/ML expertise combined with business acumen and change management skills.
ConsultingData ManagementGenetics
Responsibilities
Develop a comprehensive corporate AI strategy aligned with business objectives, including 1-3 year roadmaps for AI adoption across all business functions
Define AI governance frameworks including ethical AI principles, responsible AI guidelines, data privacy standards, and risk management protocols
Establish AI investment priorities by evaluating emerging AI technologies (generative AI, agentic systems, computer vision, NLP, etc.) against business needs and ROI potential
Create and maintain AI technology stack recommendations, including build vs. buy vs. partner decisions for AI platforms and tools
Partner with executive leadership to secure funding, resources, and organizational commitment for AI initiatives
Monitor AI industry trends and competitive landscape to ensure the organization remains at the forefront of AI innovation
Develop AI maturity models and assess organizational readiness for AI adoption across different functions
Lead organizational change to build an AI-first mindset across all departments and levels of the organization
Design and deliver AI education programs including executive briefings, department-specific training, and hands-on workshops
Establish AI Centers of Excellence or communities of practice to share knowledge, best practices, and success stories
Create internal AI evangelism programs including champions networks, lunch-and-learns, and innovation challenges
Develop change management strategies to address resistance, fear, and misconceptions about AI adoption
Build cross-functional AI literacy by creating accessible resources, playbooks, and documentation for non-technical stakeholders
Foster an experimentation culture by establishing safe-to-fail environments and rapid prototyping processes
Partner with People and L&D to integrate AI skills into talent development and recruitment strategies
Conduct discovery sessions with business unit leaders to identify pain points, inefficiencies, and opportunities where AI can create value
Evaluate and prioritize AI use cases using frameworks that balance business impact, technical feasibility, and strategic alignment
Develop business cases for AI initiatives including cost-benefit analysis, resource requirements, timelines, and success metrics
Identify opportunities for generative AI applications including content creation, code generation, customer service automation, and knowledge management
Explore agentic AI applications where autonomous systems can handle complex multi-step workflows, decision-making, and task orchestration
Map AI opportunities across the value chain from supply chain optimization to customer experience enhancement
Maintain an AI opportunity backlog with clear prioritization criteria and regular review processes
Conduct competitive analysis to identify AI capabilities that could provide strategic differentiation
Own the AI product roadmap including features, releases, and dependencies across multiple AI initiatives
Define product requirements for AI solutions in collaboration with technical teams, business stakeholders, and end users
Manage AI product lifecycle from ideation through MVP, pilot, scaling, and optimization
Coordinate with data science, R&D, engineering, and Digital/IT teams to ensure successful implementation of AI solutions
Oversee vendor relationships for third-party AI platforms, tools, and services
Ensure AI solutions meet quality standards including accuracy, reliability, fairness, transparency, and security
Manage AI project portfolios balancing quick wins with transformational initiatives
Establish AI performance frameworks with clear KPIs for each AI initiative linked to business outcomes
Define metrics for AI effectiveness including accuracy metrics, operational efficiency gains, cost savings, revenue impact, and user adoption
Create dashboards and reporting mechanisms to track AI performance, ROI, and business value across the organization
Conduct post-implementation reviews to capture lessons learned and refine future AI initiatives
Measure AI-first culture adoption through surveys, usage analytics, and behavioral indicators
Calculate total cost of ownership (TCO) for AI initiatives including infrastructure, licensing, talent, and maintenance costs
Develop value attribution models to accurately connect AI capabilities to business outcomes
Establish continuous improvement processes based on performance data and user feedback
Report on AI progress to executive leadership with clear business impact narratives
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Business, Engineering, or related field
5+ years of progressive experience in product management, AI/ML implementation, or digital transformation roles
3+ years of hands-on experience with AI/ML technologies including generative AI (GPT, Claude, Gemini, etc.) and agentic systems
Proven track record of developing and executing AI strategies in enterprise environments
Demonstrated success leading matrixed, cross-functional teams and managing complex technology initiatives
Experience building AI products from concept through production deployment
Experience with change management and organizational transformation in technology adoption
Deep understanding of AI/ML concepts including supervised/unsupervised learning, natural language processing, computer vision, and reinforcement learning
Expertise in generative AI including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and fine-tuning approaches
Knowledge of agentic AI systems including autonomous agents, multi-agent orchestration, tool use, and reasoning capabilities
Familiarity with AI platforms and tools such as OpenAI, Anthropic Claude, Azure AI, Google Vertex AI, AWS Bedrock, and open-source frameworks
Understanding of MLOps practices including model deployment, monitoring, versioning, and governance
Understanding of data architecture and engineering principles that enable AI applications
Awareness of AI ethics, bias, and fairness considerations in model development and deployment
Knowledge of AI security and privacy requirements including data protection and adversarial attack mitigation
Strategic thinking with ability to connect AI capabilities to business value and competitive advantage
Strong business acumen with experience developing ROI models and business cases for technology investments
Exceptional communication skills with ability to explain complex AI concepts to non-technical audiences
Stakeholder management expertise including experience influencing senior executives and board members
Change leadership capabilities with demonstrated ability to drive cultural transformation
Data-driven decision making with strong analytical and problem-solving skills
Product management expertise including agile methodologies, user story development, and prioritization frameworks
Project and portfolio management skills with ability to manage multiple concurrent initiatives
Preferred
Certification in AI/ML such as Google Cloud ML Engineer, AWS ML Specialty, or similar credentials
Product management certifications such as Certified Scrum Product Owner (CSPO) or Pragmatic Institute
Knowledge of agricultural or bovine industry applications would be an asset
Experience with AI governance frameworks and responsible AI practices
Experience with AI prompt engineering and building effective prompts for various use cases
Understanding of AI model evaluation techniques and quality assurance processes
Experience with AI-powered automation tools like Microsoft Power Platform, UiPath, or similar
Company
URUS Group
URUS Group is a holding company serving dairy and beef cattle producers with genetic solutions, data management, and consulting.
1001-5000 employees
H1B Sponsorship
URUS Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Late StageLeadership Team
Bob Welper
CEO PEAK
Paul Hunt
Chief Executive Officer
Recent News
EIN Presswire
2025-07-04
Company data provided by crunchbase