AI Product Owner

Alta GeneticsMadison, WI
5d

About The Position

URUS is seeking a strategic and innovative Artificial Intelligence (AI) Product Owner to lead our corporate artificial intelligence transformation. This role will be responsible for co-developing and executing our enterprise AI strategy, fostering an AI-first culture across the organization, identifying high-value use cases for generative AI and agentic systems, and establishing frameworks to measure AI effectiveness and business impact. The ideal candidate combines deep AI/ML expertise with business acumen, change management skills, and the ability to translate emerging AI capabilities into tangible business value. Reporting to the SVP of Integrated Digital Solutions, the AI Product Owner plays a pivotal role in shaping the digital future of Urus and enabling the technological capabilities required to support sustainable growth and strategic execution.

Requirements

  • 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
  • Bachelor's degree in Computer Science, Data Science, Business, Engineering, or related field

Nice To Haves

  • MBA, Master's in Data Science, AI, or related advanced degree strongly 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

Responsibilities

  • AI Strategy Development & Execution (30%)
  • AI-First Culture & Change Management (25%)
  • Use Case Identification & Prioritization (25%)
  • Product Management & Delivery (15%)
  • Measurement & Value Realization (5%)
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