26-2281: Product Owner- Enterprise Data & AI

**Product Owner\- Enterprise Data \& AI** **Job ID\#: 26\-2281** **Location: Herndon, VA/ Remote** **Who We Are**: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. **What We Do**: At our very core, we’re a group of problem solvers providing our award\-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award\-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting\-edge transformative solutions. **What You’ll Do**: 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 will include but are not limited to:*** 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. * 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 opportunit