Senior Manager – Strategy & Execution B2C

Enterprise Product & Consumer Experience

• Support the definition and rollout of the product and AI vision by coordinating requirements across business verticals such as hospitality, entertainment, real estate, and community management.
• Assist in the design and implementation of initiatives aimed at cross-brand engagement, retention, and lifetime value, with a focus on execution of personalization, loyalty, and upsell activities.
• Conduct research, prepare business cases, and validate use cases by gathering data, benchmarking competitors, and preparing presentations for leadership decision-making.
• Stay abreast of industry best practices and prepare recommendations to enable benchmarking.

Cross-Brand Collaboration & Stakeholder Alignment

• Coordinate with business units to align project deliverables with group-wide ambitions, ensuring stakeholder requirements are captured and addressed
• Provide operational support for steering committees, workshops, and planning sessions, including logistics, data preparation, and documentation of outcomes
• Apply project management tools and change management methodologies to support smooth implementation and business adoption
• Prepare reports and communication materials to highlight the progress and impact of group-wide product and data initiatives

AI & Data Innovation Leadership

• Manage assigned elements of AI- and data-powered products (e.g., loyalty programs, predictive guest experience engines, content recommendation tools etc.,) by gathering requirements, documenting features, and supporting testing
• Coordinate with technical teams and vendors to ensure integration activities, data flows, and platform configurations are delivered accurately and on time
• Monitor compliance, quality, and usability standards, escalating risks or issues to senior leadership when required

Program Management

• Support roadmap execution by tracking milestones, preparing KPI dashboards, and reporting adoption and performance metrics.
• Run A/B testing, collect analytics, and prepare insights to guide enhancements and investment decisions
• Identify underperforming features or processes through data review and propose improvement opportunities for leadership consideration.
• Document lessons learned and facilitate knowledge sharing across brands and teams.