Responsibilities

• Build and maintain a clear operating cadence across multiple AI pilot workstreams, including timelines, actions, dependencies, and decision logs
• Amalgamate updates from workstream owners and convert them into concise weekly summaries, executive-ready readouts, and clear next-step recommendations
• Develop presentations, status updates, talking points, and narrative materials that help leaders understand progress, risks, learnings, and opportunities
• Track pilot objectives, milestones, success measures, issues, and emerging trends to ensure the broader program story is grounded in evidence
• Identify themes across pilots and convert fragmented information into structured insights, patterns, and implications for scale
• Draft communications for stakeholders across marketing, technology, operations, and other business functions to maintain alignment and momentum
• Prepare for key forums by creating agendas, pre-reads, meeting notes, action trackers, and follow-up materials
• Step into ambiguous situations, create order quickly, and move work forward without requiring heavy direction
• Create executive-quality slides, dashboards, and briefing materials that synthesize updates, trends, business impact, and recommendations
• Conduct cross-workstream trend synthesis, including themes, blockers, dependencies, and signals that can inform future scaling decisions

Requirements

• 4 years experience in program or project management, communications, chief-of-staff-style support, marketing operations, consulting, or a similar role that required structured execution and executive communication
• 3 years experience supporting enterprise AI initiatives, digital transformation programs, innovation portfolios, or complex cross-functional marketing work

Preferred

• Experience in hospitality, travel, loyalty, customer experience, or global consumer brands is beneficial
• Experience supporting senior executives with steering committees, or transformation office outputs is a plus
• Working knowledge of enterprise AI use cases, pilot lifecycle management, change management, and responsible AI considerations is advantageous
• Familiarity with data visualization, simple dashboarding, or lightweight analysis to support decision-making is useful