Grc Cybersecurity Governance Expert
2 semanas atrás
Seeking a skilled professional to spearhead our cybersecurity governance program enhancement.Develop and maintain a backlog of features and enhancements spanning data pipelines, predictive models, and 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.The ideal candidate will combine knowledge of cybersecurity frameworks with strong interpersonal skills to partner effectively across the organization.Key Responsibilities: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.Requirements:At least 3 years of experience in end-to-end product ownership, product management, or delivery of data or optimization platforms.Experience with a revenue management system.Proficient in Jira, Confluence, and backlog management toolsExperience 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.Familiarity with data pipelines, ML model lifecycle, and modern UI patternsIndustry experience in cruise, travel, or enterprise data systems is a plus.Strong communication and stakeholder management skillsExcellent facilitation, documentation, and analytical skillsEnglish level: B2 (upper-intermediate).
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