Data Strategy & Analytics Leadership
- Develop and execute comprehensive data strategy aligned with organizational goals and MLS/Red Bull Global initiatives
- Lead the creation of predictive models and advanced analytics to drive fan acquisition, retention, and revenue optimization
- Establish key performance indicators (KPIs) and metrics frameworks across all business units
- Provide strategic insights and recommendations to executive leadership through data-driven analysis
Customer Relationship Management (CRM)
- Oversee all CRM platforms and systems, ensuring optimal fan data collection, segmentation, and activation
- Design and implement customer journey mapping and lifecycle marketing strategies
- Develop fan personas and behavioral analytics to enhance personalization and targeting
- Manage customer data integration across multiple touchpoints including ticketing, merchandise, digital platforms, and venue experiences
Business Intelligence & Reporting
- Build and maintain comprehensive dashboards and reporting infrastructure for all departments
- Create automated reporting systems for sales performance, fan engagement, sponsorship ROI, and operational metrics
- Develop real-time analytics capabilities for matchday operations and fan experience optimization
- Establish data governance standards and ensure data quality across all systems
Team Leadership & Development
- Foster a data-driven culture throughout the organization through training and consultation
- Collaborate with IT and external vendors to ensure robust data infrastructure and security
- Manage department budget and resource allocation for analytics tools and platforms
Cross-Functional Collaboration
- Partner with Marketing, Sales, Operations, and Fan Experience teams to identify analytical opportunities
- Work closely with MLS and Red Bull Global data teams to leverage shared resources and best practices
- Support sponsorship teams with data-driven insights for partner activation and measurement
- Collaborate with coaching staff and soccer operations on performance analytics (as applicable)