Product Owner (AI)
Job Description
Wesco seeks an AI Product Owner to lead AI and Generative AI product initiatives. This role connects business stakeholders with AI, data science, and engineering teams to shape AI product strategy, manage the backlog, and drive measurable business outcomes from planning through enterprise adoption.
Responsibilities
- Partner with business leaders and functional stakeholders to identify, assess, and prioritize opportunities for AI, Generative AI, Machine Learning, and Intelligent Automation that deliver measurable business value.
- Understand business processes, pain points, data availability, and operational requirements to determine which AI approaches fit best.
- Translate strategic business objectives into actionable AI roadmaps, capabilities, and use cases.
- Evaluate AI initiatives using criteria including business impact, feasibility, scalability, data readiness, implementation effort, and expected ROI.
- Define MVP scope and support iterative development from proof-of-concept to production deployment and enterprise adoption.
- Own and manage the AI product backlog, ensuring priorities remain aligned to business objectives and overall product strategy.
- Convert business requirements into detailed epics, features, user stories, acceptance criteria, and functional requirements.
- Continuously prioritize and refine the backlog based on business value, technical feasibility, stakeholder feedback, and changing organizational priorities.
- Collaborate across Scrum Masters, engineering, data scientists, AI/ML engineers, architects, and business stakeholders throughout the product lifecycle.
- Participate in Agile ceremonies including sprint planning, backlog refinement, sprint reviews, demos, and retrospectives.
- Define acceptance criteria and validate that released solutions meet business requirements.
- Partner with Data Science, AI/ML, engineering, and architecture teams to build solutions using technologies such as Generative AI, Large Language Models (LLMs), Machine Learning, NLP, predictive analytics, AI agents, and Intelligent Automation.
- Support evaluation of AI outputs for accuracy, relevance, reliability, usability, and business value.
- Define product and model performance metrics and establish feedback mechanisms to support continuous improvement.
- Work with technical teams to address issues such as hallucinations, model performance, data quality, scalability, and integration with enterprise applications.
- Establish measurable KPIs, success criteria, and business outcomes for AI initiatives.
- Develop business cases and quantify potential improvements in productivity, revenue, cost reduction, customer experience, forecasting accuracy, cycle time, and operational efficiency.
- Monitor adoption and performance post-deployment and identify opportunities for continuous improvement.
- Gather stakeholder and user feedback and incorporate learnings into future product releases.
- Communicate AI product performance, risks, dependencies, roadmap progress, and business outcomes to leadership and key stakeholders.
- Ensure AI solutions are developed and deployed in alignment with organizational Responsible AI, security, privacy, data governance, and compliance standards.
- Partner with governance, security, legal, risk, and technology teams across the AI product lifecycle.
- Support evaluation of AI solutions for bias, accuracy, explainability, data quality, privacy, and other risks.
- Establish human-in-the-loop controls and monitoring mechanisms where required.
Requirements
- 3ā6+ years of experience in Product Management, Product Ownership, Business Analysis, Digital Transformation, Agile Delivery, or a related discipline.
- Experience owning or supporting technology products from business problem identification through implementation and adoption.
- Ability to translate complex or ambiguous business requirements into structured product requirements, user stories, and acceptance criteria.
- Strong understanding of Agile/Scrum product development methodologies and backlog management.
- Working knowledge of AI, Machine Learning, Generative AI, LLMs, analytics, or Intelligent Automation technologies.
- Ability to work effectively with Data Scientists, AI/ML Engineers, Software Engineers, Architects, and business stakeholders.
- Strong analytical and problem-solving skills, connecting technical capabilities to measurable business outcomes.
- Excellent stakeholder management, facilitation, communication, and presentation skills.
- Experience using product and delivery tools such as Jira, Azure DevOps, Confluence, or similar platforms.
Technologies
- AI, Generative AI, Machine Learning, Intelligent Automation
- Scrum, Agile
- Jira, Azure DevOps, Confluence
- Large Language Models (LLMs), NLP, predictive analytics, AI agents, LLM-based applications
- Python, SQL, Snowflake
- Azure AI services, AWS AI services, GCP AI services
- APIs, RAG, prompt engineering
Preferred Qualifications
- Previous experience in Supply Chain, Sales, Commercial Operations, or related business functions.
- Experience delivering AI/ML or GenAI products in an enterprise environment.
- Understanding of AI/ML concepts including model evaluation, training and inference, data pipelines, prompt engineering, RAG, and LLM-based applications.
- Familiarity with Python, SQL, Snowflake, Azure/AWS/GCP AI services, APIs, and modern data platforms.
- Experience developing business cases, ROI assessments, and value-realization frameworks for AI or digital initiatives.
- Experience taking AI solutions from proof-of-concept/MVP to scalable production deployment.
- Exposure to enterprise AI governance and Responsible AI frameworks.
Benefits
- Paid time off
- Medical, dental, and vision coverage
- Retirement savings plans
- Bonus or sales incentive plan (for eligible positions, subject to plan documents)
- Commission structure for certain sales roles (additional compensation based on sales results, as defined by the applicable commission plan)
Location and Compensation
Location: Jersey Village, TX (onsite)
Salary: USD 119,327ā161,092 per year
Compensation details: $119,327 - $161,092 Annually
Other listed locations: Pittsburgh, PA; Glenview, IL; Raleigh, NC; Austin TX; Houston TX; Dallas TX; Jersey Village TX; Phoenix AZ