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The Enterprise Data, Analytics & AI organization at Marriott is pioneering the future of hospitality by serving as the company’s AI-driven decision nervous center—where data and AI converge to guide every decision. The organization is seeking a Managing Vice President of Analytic & AI Products to lead Marriott’s enterprise-wide analytic product portfolio. In this capacity, the MVP of Analytic & AI Products oversees Generative AI, Data Science (including Traditional AI/ML, statistical modeling, and other advanced modeling techniques), Business Intelligence (BI) Tools & Products, and all analytic capabilities related to generating insight, recommendations and actions. This executive is responsible for shaping and executing a unified strategy that integrates advanced analytics, automation, and intelligence capabilities to drive innovation, operational excellence, and analytical-driven decision-making across the organization.
Job Responsibility:
Lead the Analytic Products function, overseeing strategic initiatives across Gen AI, Data Science (including statistical modeling and other advanced models), BI Tools & Products, and all capabilities to generate insights, recommendations and actions to each part of the business
Design and implement a cohesive analytic product strategy that supports enterprise goals and enables data-driven decision-making across business units
Oversee the development, deployment, and evolution of analytic products, ensuring scalability, reliability, and measurable business value
Guide the integration of advanced predictive modeling, statistical modeling, generative AI solutions, and enterprisetools to enable actionable insights, recommendations, actions, and automation
Oversee team structure, resource allocation, and portfolio prioritization to ensure high-impact analytics initiatives are delivered efficiently and effectively
Build and mentor a high-performing analytics team, fostering professional development, domain expertise, and cross-functional collaboration
Establish strong relationships with business, technology, and external partners to understand needs, manage expectations, and deliver impactful analytic solutions
Champion analytics literacy and drive adoption of analytic products to empower business leaders and foster a culture of informed decision-making
Ensure governance, quality, and ethical use of analytic products and AI across all domains
Stay current with industry trends, emerging technologies, and best practices in data, analytics, and AI
Requirements:
Advanced degree in Data Science, Analytics, Computer Science, Engineering, or a related field (PhD preferred)
15+ years of progressive leadership experience in analytics, AI/ML, BI, or related domains within large, complex organizations
Extensive experience in traditional or generative AI, statistical modeling, and other advanced modeling techniques, with a proven track record of delivering successful AI projects in a transforming enterprise
Proven executive-level experience in consultative leadership and strategic business partnership, with a demonstrated ability to influence senior stakeholders and drive enterprise-wide analytic initiatives
Deep expertise in traditional AI/ML, generative AI, statistical modeling, and enterprise BI platforms
Experience building or transforming analytic product teams and disciplines for an omnichannel organization
Highly skilled in Agile methodologies, experienced in pod-driven development methodologies, and highly competent in delivering responsible solutions at speed
Skilled in prioritizing analytics initiatives based on business impact and resource availability
Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels of the organization
Excellent verbal and written communication skills, with the ability to present complex data and AI insights to non-technical stakeholders
Excellent storyteller, combining their experience with the needs of the business to deliver compelling narratives around current and future work
Experience negotiating large, multi-year contracts and managing vendor relationships
Commitment to ethical AI, responsible data use, and continuous learning