PRODUCT OWNER

Product Owner - This role involves managing initiatives that span data engineering, machine learning, and user-facing interfaces. In addition to gathering and managing business requirements, the PO will be responsible for overseeing the full delivery lifecycle to ensure successful execution from concept through release. DUTIES & RESPONSIBILITIES Develop and maintain a backlog of features and enhancements spanning data pipelines, predictive models, and RMS user interfaces. Identify and prioritize high-value opportunities to optimize pricing strategies and demand forecasting. Gather, analyze, and document business requirements and translate them into detailed epics and user stories with clear descriptions, business rules, and acceptance criteria. Own the full delivery lifecycle of features and enhancements, ensuring timely execution, alignment with stakeholders, and readiness for deployment. Collaborate with Data Engineering on requirements for data sourcing, integration, and quality. Partner with Data Science to define, deploy, and iterate on ML models and pricing algorithms. Align with UI/UX and front-end teams to ensure a seamless user experience. Facilitate cross-functional workshops and planning sessions with business stakeholders. Define and track key performance indicators (KPIs) to assess product success and user adoption. Ensure accurate documentation in Confluence and Jira for themes, epics, and tasks. Coordinate with QA to validate features and ensure delivery meets requirements. Promote continuous iteration based on stakeholder feedback and performance data. Drive change management and support user training for new RMS features. Ensure compliance with data governance, security, and regulatory standards. Identify and mitigate risks associated with process and system changes. Actively participate in Agile ceremonies including backlog grooming, sprint planning, reviews, and retrospectives. Perform other job-related functions as assigned. QUALIFICATIONS DEGREE TYPE: Bachelor's Degree FIELD(S) OF STUDY: Business Management, Data Analytics, or related fields EXPERIENCE; At least 3 years of experience in end-to-end product ownership, product management, or delivery of data or optimization platforms. Experience working across Data Engineering, Data Science, and UI Development teams, as well with multiple stakeholders and brand Revenue Management teams. Experience working in Agile software development environments with cross-functional teams. Industry experience in cruise, travel, or enterprise data systems is a plus. COMPETENCIES/SKILLS Exposure to revenue management, pricing systems, or forecasting tools is preferred Strong understanding of Agile delivery methodologies and iterative development Familiarity with data pipelines, ML model lifecycle, and modern UI patterns Ability to define and refine user stories across technical and business domains Proficient in Jira, Confluence, and backlog management tools Strong communication and stakeholder management skills Excellent facilitation, documentation, and analytical skills Understanding of change management principles and user adoption strategies High attention to detail and ability to manage competing priorities Strong business acumen and problem-solving capabilities Adaptability in fast-paced, cross-functional environments CERTIFICATIONS/LICENSES Add certifications/licenses (if any) here.