Job Summary

Primary Responsibilities

Drive Strategy & Processes for Decision-Centric Analytics & AI

• Define the strategic framework for how Choice Hotels prioritizes and deploys analytics and AI against the organization’s most critical business decisions.
• Design and refine operating processes for the Advanced Analytics team to ensure resources are allocated to the highest-value opportunities and away from lower-impact work.
• Develop standardized methods for scoping, evaluating, and tracking use cases, ensuring clarity on business objectives, success metrics, and ROI.
• Lead efforts within the Advanced Analytics team to reinforce a decision-centric mindset, ensuring models, dashboards, and analytics are designed with clear business impact in mind.
• Create processes and/or identify tools that capture, measure, and feedback outcomes of business decisions influenced by analytics, establishing a closed loop for measurement and continuous improvement.
• Design and implement a portfolio management framework to oversee the lifecycle of analytics data products, ensuring alignment with enterprise priorities.
   

Data Strategy for Analytics & AI

• Define the data roadmap for analytics use cases, ensuring that investments in data sources, platforms, and capabilities are aligned with Choice’s highest-value business decisions.
• Partner with Technology and Data Engineering to improve data accessibility, quality, and readiness for analytics and AI deployment.
• Establish strategy and processes for customer data activation and monetization, balancing innovation and revenue opportunities with privacy, compliance, and brand protection.
• Support the launch of the franchisee satisfaction program, ensuring survey design and data capture processes provide the Advanced Analytics team with a robust foundation to deliver actionable owner insights.
   

Drive AI & Data Enablement

• Lead the rollout of AI fluency program to the Choice organization in partnership with HR and Technology.
• Drive enterprise data democratization by supporting the rollout of the data catalog and data dictionaries, making data easier to discover and use across the business.
• Develop and maintain common data practice guidelines and example queries that promote consistency and quality in analytics work.
• Refresh and maintain data literacy tools and training (e.g., SQL assessments, practice resources) to elevate foundational skills across the organization.
   

Lead Content & LLM Strategy

• Own project management and coordination of the enterprise LLM content strategy, aligning stakeholders across Digital, Marketing, Distribution, Sales, Reputation Management, Analytics, Technology, and Brand.
• Facilitate alignment across sub-committees of the enterprise content working group, ensuring a consistent approach to LLM content visibility.
• Monitor generative AI and LLM industry trends, translating insights into actionable strategies for Choice Hotels.
• Prepare executive-ready materials and recommendations for steering committees and senior leadership to guide decision-making in this evolving space.
   

Support Advanced Analytics Team Effectiveness

• Organize and deliver team-wide forums (e.g., town halls, learning sessions) to build engagement and share updates on analytics initiatives.
• Oversee operational processes including budget tracking, project intake, and knowledge-sharing platforms (e.g., SharePoint).
• Develop decision-support materials and presentations for senior leaders, ensuring complex analytics initiatives are communicated clearly and effectively.
• Identify and implement process improvements that enhance team efficiency and strengthen cross-functional collaboration.
   

Qualifications
 

Education

• Bachelor’s degree in Analytics, Data Science, Business, or related field or equivalent combination of education and work experience.
• Advanced degree preferred.
   

Experience

• 5+ years of experience across consulting, analytics, AI strategy, and related fields, with a proven ability to lead cross‑functional initiatives and drive data‑informed strategic outcomes.
• Strong project management, consulting-style problem solving, communication skills.
• Exceptional storytelling and presentation (PowerPoint) skills.
• Proven ability to influence stakeholders and drive alignment across diverse groups.
• Ability to balance strategic vision with operational execution.
• Experience leading cross-functional initiatives, building trust and alignment across diverse stakeholder groups.
• Demonstrated expertise in change management, with a track record of driving adoption of new processes, tools, or ways of working.
• Experience in hospitality, customer experience, or franchisee engagement is a plus.
• Knowledge of data strategy, architecture, and governance principles is preferred.
• This role requires on-site work in a designated office cubicle at least four days per week, availability during standard East Coast business hours, and active use of company communication tools, including enabled email and instant message notifications, throughout the workday.
   

Technical Skills

• Familiarity with AI platforms, data governance, and analytics tools.
• Understanding of LLMs and emerging AI technologies.
   

Competencies

• Strategic thinking, influence without authority, and ability to drive organizational change.
• Excellent collaboration and stakeholder management skills.

WORK LOCATION:
This position is based at Choice Hotels’ Pike & Rose headquarters in North Bethesda, Maryland. The selected candidate must be able to commit to this location requirement and adhere to the company’s hybrid work schedule, which consists of four days onsite and one day remote per week.

NOTE: 

This position is not eligible for relocation assistance or sponsorship.

Salary Range 

The salary range for this position is $132,000 to $155,000 annually. In addition to the annual salary, this role is eligible for an annual bonus based on the terms of Choice's Management Incentive Plan (MIP).
 

The pay range listed is for this position and is what Choice Hotels reasonably expects to pay. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the pay range will be based on several factors including, but not limited to, relevant education, qualifications, qualifications, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.