Analytics & AI Strategy Senior Manager

Analytics & AI Strategy Senior Manager page is loaded## Analytics & AI Strategy Senior Manager locations:
North Bethesda MD - Corporate Headquarters time type:
Full time posted on:
Posted Todayjob requisition :
R21218#
** Job Summary
** The Senior Manager, Analytics & AI Strategy plays a pivotal role in advancing Choice Hotels’ enterprise transformation through analytics, AI, and emerging technologies. Sitting within the centralized Advanced Analytics team, this role ensures that data, analytics, and AI are systematically aligned with Choice Hotels’ most critical business priorities and are adopted across the organization.

As a cross-functional leader, the Senior Manager connects strategy across four essential pillars: decision-centric processes, enterprise data and AI strategy, organizational enablement, and content strategy for emerging platforms. The role will identify and prioritize high-impact opportunities, guide the data and AI strategy needed to support them, lead adoption and fluency programs that drive organizational change, and ensure Choice Hotels’ content and brand are represented effectively within the evolving AI landscape.

The ideal candidate is a strategic thinker and influencer who can operate seamlessly across teams and levels of the organization. They bring strong project management and communication skills, consulting-style problem solving, and the ability to convert complex challenges into actionable strategies that deliver measurable business impact.#
** 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,…