Senior Manager, AI Data Scientist

JOB SUMMARY

 

This Senior Manager role will lead the data science and governance foundation for the US & Canada division’s AI and advanced analytics initiatives, supporting generative AI and machine learning capabilities across Sales, Marketing, and Revenue Management. The position will focus on ensuring that all AI‑powered tools—including LLM‑driven solutions, traditional machine learning models, and business‑rule–based systems—are supported by robust, scalable data pipelines, governance frameworks, and monitoring processes.

 

The Senior Manager will guide the end‑to‑end technical approach for AI use cases, determining the optimal methodologies to balance cost, complexity, efficiency, and business value. This role requires hands‑on expertise with data engineering and data science technologies, including SQL, Python, ML frameworks, and experience working with LLMs and retrieval‑augmented generation (RAG) patterns.

 

The individual will collaborate closely with analytics teams, business stakeholders, and technology partners to operationalize AI use cases, ensure ongoing model health, and support Marriott’s continent‑level AI strategy.

 

CANDIDATE PROFILE 

Education and Experience 

 

Required

• 2-year degree in Business Administration, related major; 6 years of experience in relevant field.
  -OR-
• 4-year bachelor’s degree in related quantitative discipline (finance, operations, economics, statistics, mathematics), or related major; 6 years of experience in relevant field.

Preferred

• Minimum 4 years of progressive experience in analytics, data engineering, or business intelligence, including hands-on work with SQL, Python, Tableau, and Power BI.
• At least 2 years leading technical teams or managing projects involving the recoding and migration of analytics assets during technology transformations.
• Demonstrated experience collaborating with business stakeholders and analytics teams to translate requirements into actionable technical solutions.
• Proven track record of automating reports and upgrading data visualization tools in a complex enterprise environment.

 

CORE WORK ACTIVITIES 

• Lead the development and management of data science and AI solutions for the US & Canada division, supporting a range of business functions. 
• Guide the selection and implementation of appropriate methodologies—LLMs, machine learning, automation, or business rules—based on evolving business needs. 
• Establish and maintain data governance, quality, and privacy standards for AI and analytics initiatives. 
• Build and oversee scalable data pipelines and model management processes to support AI-powered tools. 
• Collaborate with cross-functional teams to translate business requirements into technical solutions and ensure successful deployment. 
• Monitor model performance, risks, and compliance, adapting approaches as needed. 
• Communicate technical concepts and project updates to both technical and non-technical stakeholders. 
• Support team development through mentorship and knowledge sharing.

MANAGEMENT COMPETENCIES

Leadership

• Adaptability – Develops strategies and identifies resources to implement and manage change; models flexibility in adjusting priorities; and communicates the need for change in a positive way that encourages commitment. 

• Communication - Actively listens and uses appropriate communication styles to deliver complex information in a clear concise way and influences others to accept a point of view, gain consensus, or take action.

• Problem Solving and Decision Making - Models and sets expectations for solving complex problems, collecting and comparing information to evaluate alternatives, considering their potential impact before making decisions, involving others to gain agreement and support, and guiding others to implement solutions.

• Professional Demeanor - Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values.

Managing Execution

• Building and Contributing to Teams - Leads