Product Owner (AI)

Locations:

• Pittsburgh, PA
• Glenview, IL
• Raleigh, NC
• Austin TX
• Houston TX
• Dallas TX
• Jersey Village TX
• Phoenix AZ

 

Responsibilities:

• AI Product Strategy & Use-Case Identification

• Partners with business leaders and functional stakeholders to identify, evaluate, and prioritize opportunities where AI, Generative AI, Machine Learning, and Intelligent Automation can create measurable business value.
• Understand business processes, pain points, data availability, and operational requirements to determine appropriate AI solutions.
• Translate strategic business objectives into actionable AI product roadmaps, capabilities, and use cases.
• Evaluate potential AI initiatives based on business impact, feasibility, scalability, data readiness, implementation effort, and expected ROI.
• Define MVP scope and support iterative development from proof-of-concept through production deployment and enterprise adoption.

• Product Ownership & Agile Delivery

• Own and manage the AI product backlog, ensuring priorities remain aligned with business objectives and product strategy.
• Translate 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 evolving organizational priorities.
• Work closely with Scrum Masters, engineering teams, 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 clear acceptance criteria and validate that delivered solutions meet business requirements before release.

• AI / GenAI Solution Development

• Partner with Data Science, AI/ML, engineering, and architecture teams to develop solutions leveraging technologies such as Generative AI, Large Language Models (LLMs), Machine Learning, NLP, predictive analytics, AI agents, and Intelligent Automation.
• Help translate business requirements into appropriate AI capabilities and workflows.
• Support evaluation of AI outputs for accuracy, relevance, reliability, usability, and business value.
• Define appropriate product and model performance metrics and establish feedback mechanisms for continuous improvement.
• Work with technical teams to address issues such as hallucinations, model performance, data quality, scalability, and integration with enterprise applications.

• Business Value & Product Performance

• Establish measurable KPIs, success criteria, and business outcomes for AI initiatives.
• Develop business cases and help quantify potential improvements in productivity, revenue, cost reduction, customer experience, forecasting accuracy, cycle time, and operational efficiency.
• Monitor adoption and performance after deployment and identify opportunities for continuous improvement.
• Gather feedback from users and stakeholders and incorporate insights into future product releases.
• Communicate AI product performance, risks, dependencies, roadmap progress, and business outcomes to leadership and key stakeholders.

• Responsible AI & Governance

• Ensure AI solutions are developed and deployed in alignment with organizational Responsible AI, security, privacy, data governance, and compliance standards.
• Partner with appropriate governance, security, legal, risk, and technology teams throughout the AI product lifecycle.
• Support evaluation of AI solutions for potential bias, accuracy, explainability, data quality, privacy, and other risks.
• Establish appropriate human-in-the-loop controls and monitoring mechanisms where required.

• Required Qualifications

• 3–6+ years of experience in Product Management, Product Ownership, Business Analysis, Digital Transformation, Agile Delivery, or a related discipline.
• Demonstrated experience owning or supporting technology products from business problem identification through implementation and adoption.
• Experience translating 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 capabilities with an ability to connect 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.

• Preferred Qualifications

• Previous experience working within 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 technologies such as 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.

#LI-SG1

This amount is what we reasonably believe we will pay for the position; however, offer amounts may vary based on factors such as geographic location, relevant education, experience, qualifications, skills, shift, or any collective bargaining agreements. For eligible positions, compensation may include participation in a bonus or sales incentive plan, subject to the terms and conditions of the applicable plan documents. For certain sales roles, Wesco also offers a commission structure that provides additional compensation based on sales results, as defined by the applicable commission plan.
At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Company’s greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive.  Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company. Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.