Data Analytics and BI Lead

Who we are:
Xponential Fitness is the largest global franchisor of health and wellness brands. The portfolio of brands includes Club Pilates, the nation's largest Pilates brand; CycleBar, the nation's largest indoor cycling brand; StretchLab, a concept offering one-on-one and group stretching services; YogaSix, the largest franchised yoga brand; Pure Barre, a total body workout that uses the ballet barre to perform small isometric movements; Rumble, a boxing-inspired full-body workout; BFT, a functional training and strength-based fitness program; and Lindora, a metabolic health brand. Through the Company’s  brands and the On-Demand virtual platform, XPLUS, Xponential Fitness continues to push their mission forward to make health and wellness accessible to everyone.

Job Overview: 

Xponential Fitness is seeking a strategic, enterprise-minded Data Analytics & Business Intelligence Lead to lead the design and execution of our data strategy, enabling insight-driven decision-making across the organization. This leader will oversee a modern analytics and BI function operating within a hub-and-spoke model, integrating with embedded analytics teams to deliver scalable, trusted, and actionable intelligence. 

This role will serve as a key bridge between business functions, data engineering, and AI teams—leading efforts to democratize data, scale advanced analytics, and incorporate AI-driven automation into enterprise decision processes. 

Pay Range: $205,000 - $225,000

Key Responsibilities: 

Leadership & Strategy 

• Define and execute a modern enterprise BI and Analytics strategy that aligns with business objectives, technology priorities, and AI-driven innovation goals. 

• Build and lead a high-performing team of BI and Analytics professionals across centralized and embedded teams. 

• Operate within a hub-and-spoke model—centralizing strategic capabilities while enabling federated analytics across business units. 

• Serve as a key partner to AI and data engineering teams, ensuring seamless integration across the Data, Analytics & AI pillar. 

• Champion a data-first culture, elevating literacy and engagement through enablement programs and leadership support. 

Business Intelligence & Data Products 

• Own the BI product portfolio, ensuring platform scalability, performance, security, and ease-of-use for cross-functional stakeholders. 

• Drive self-service enablement, empowering business teams with intuitive, governed dashboards, insights, and decision tools. 

• Deliver data visualization and storytelling that aligns with executive decision-making and operational execution. 

AI-Enabled Analytics & Automation 

• Integrate AI/ML models, including predictive and prescriptive analytics, into BI solutions to automate insights and enhance strategic foresight. 

• Partner with the AI Center of Excellence to operationalize advanced analytics use cases across finance, marketing, ops, and customer experience. 

• Explore emerging technologies (e.g., natural language query, embedded analytics, generative AI) to modernize data interaction and value delivery. 

• Foster a test-and-learn approach for data automation, using analytics to streamline workflows and unlock productivity. 

Cross-Functional Collaboration & Governance 

• Act as a trusted advisor to business leaders—translating strategic goals into data initiatives that deliver measurable value. 

• Align closely with data engineering to ensure clean, integrated, and accessible data pipelines and models. 

• Lead efforts around data governance, compliance, and security in collaboration with cybersecurity and GRC teams. 

• Establish and monitor enterprise KPIs and metrics, providing a consistent data foundation across the business. 

Collaboration & Stakeholder Engagement 

• Work closely with technology, data engineering, and business teams to ensure seamless data flow and integration. 

• Partner with executive leadership to define key business metrics and ensure analytics efforts support strategic objectives. 

• Foster a data literacy culture, ensuring teams understand and leverage BI and analytics effectively. 

Benefits:

• Medical, Dental and Vision benefits
• Empower is our 401k company. We offer Traditional and Roth 401k plans. Employer match is 4% and starts matching at the beginning of year 2. Your 401k would be fully vested at the start of year 3
• Complimentary corporate memberships to XPLUS and XPASS
• Discounts on retail brand merchandise- up to 30% off wholesale price
• On-site gym 
• On Campus Amenities: Reborn Coffee Shop, Hangar 24, Mini Putting Green, Basketball Court, Bird Sanctuary, Car Washing Services (M/W), Dry Cleaning Services

Xponential Fitness LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity, or expression, or any other characteristic protected by federal, state, or local laws.

Qualifications: 

• Experience: 10 years in enterprise analytics, BI, or data strategy roles; 5 years leading high-impact teams. 
• Platform & Tools: Deep knowledge of BI platforms (e.g., Power BI, Tableau), data modeling, SQL, cloud data warehouses (e.g., Snowflake, BigQuery), and modern data stack components. 
• AI Fluency: Proven track record embedding AI/ML into business analytics use cases or collaborating with AI teams. 
• Six Sigma & Process Excellence: Black Belt Lean Six Sigma certification strongly preferred, with demonstrated success using data to drive process efficiency and continuous improvement. 
• Product & Architecture: Strong understanding of analytics architecture, data governance, and platform lifecycle management. 
• Business Acumen: Strategic mindset with the ability to link data investments to business outcomes. 
• Communication & Storytelling: Strong data storytelling and executive communication skills. 
• Education: Bachelor’s or Master’s in Data Science, Analytics, Information Systems, or a related field. 

Salary : $205,000 - $225,000