Product Owner Data & AI

**POSITION SUMMARY****:** The Product Owner is a member of our Enterprise Data \& AI team. Product Owners work daily with teams of business stakeholders, application developers, QA testers, and Scrum Masters to deliver business value through innovative software solutions. The Product Owner is the primary product specialist for the development scrum team, manages the team’s backlog, participates actively in all phases of development, and is a key stakeholder in product related decisions and release planning. Responsibilities* Product Vision \& Strategy * Define and maintain the product backlog for the Data \& AI platform, ensuring alignment with the university’s long\-term strategic plan and near\-term priorities. * This is a Remote (work from home) position. * Translate institutional goals (student success, research advancement, operational efficiency) into actionable product objectives. * Stakeholder Engagement * Collaborate with faculty, researchers, administrators, and IT leaders to gather requirements and identify high\-value data and AI use cases. * Serve as the primary liaison between business stakeholders and the technical development team. * Backlog \& Prioritization * Create, refine, and prioritize the product backlog based on business value, compliance requirements, and technical feasibility. * Define acceptance criteria and ensure clarity for data, AI, and integration\-related user stories. * Delivery \& Execution * Collaborate with data engineers, AI/ML specialists, developers, and architects to deliver platform features and enhancements. * Support Agile ceremonies (sprint planning, standups, reviews, retrospectives) and ensure the team has a clear understanding of the overall vision and business value of priorities. * Governance \& Data Stewardship * Partner with institutional data governance groups to enforce data security, compliance, and stewardship and quality standards and processes. * Ensure AI applications comply with ethical and responsible AI guidelines in higher education. * Analytics \& AI Enablement * Guide the development of AI/BI apps, BI apps, self\-service analytics, and AI\-powered insights for faculty, staff, and leadership. * Identify opportunities to embed AI/ML models (e.g., student retention predictions, enrollment forecasting, research analytics). * Change Management \& Adoption * Communicate platform benefits, features, and updates to stakeholders. * Drive adoption through demonstrations, training, and user enablement activities. * Help guide value creation, realization, and measurement through Data \& AI products * Continuous Improvement * Monitor product performance, collect feedback, and adjust priorities based on evolving institutional needs. * Stay current on data \& AI/ML trends and recommend platform innovations. **Qualifications** Education \& Experience* Bachelor’s degree in Information Science, Information Systems, Computer Science, Data Science, Business Administration, or rel