VP, Business Intelligence and Data Analytics

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

The Vice President of Data, Business Intelligence, and Analytics will lead our BI and analytics initiatives, driving actionable insights that fuel product innovation, enhance customer experiences, and optimize business performance. Reporting to the Chief Product Officer, this role oversee a team focused on business intelligence, web analytics, data feeds, and advanced analytics, partnering closely with data engineering and other teams to harness the full power of AXS's data. This role is critical to our mission of delivering personalized, data-driven solutions in a fast-paced ticketing and e-commerce environment.

What Will You Do?

• Strategic Leadership: Develop and execute data integration and analytics strategies that align with AXS’s product vision and business objectives, positioning data as a key driver of growth and innovation. Partner with executive leadership to translate business goals into actionable data initiatives, ensuring insights drive strategic decisions.
• Team Management: Lead, mentor, and inspire a high-performing team of BI analysts, web analytics specialists, and advanced analytics experts, fostering a culture of curiosity, collaboration, and measurable impact. Establish best practices in BI methodologies, data visualization, and analytics frameworks to drive continuous improvement and innovation.
• Business Intelligence: Oversee the development of scalable and intuitive dashboards, reports, and self-service BI tools (e.g., Tableau, Looker, Power BI) to empower product, marketing, sales, and operations teams with real-time insights. Ensure analytics infrastructure supports ad-hoc analysis, standardized reporting, and deep-dive investigations to uncover business opportunities.
• Product Analytics: Drive the measurement and optimization of customer journeys across AXS.com, native apps, and SDKs, leveraging tools like Google Analytics and Adobe Analytics to improve conversion rates, engagement, and retention.Partner with UX, product management, and marketing teams to analyze customer behavior and optimize digital experiences.
• Data Feeds: Manage the development and delivery of high-quality batch and real-time data feeds to internal stakeholders and external partners, ensuring accuracy, timeliness, and usability. Oversee BI infrastructure, data warehousing, and ETL processes, working closely with data engineering to optimize data pipelines and ensure seamless integration across systems.
• Advanced Analytics: Lead the application of predictive modeling, machine learning, and customer segmentation to enhance personalization, refine pricing strategies, and forecast demand. Collaborate with data scientists and data engineers to ensure data is structured, accessible, and leveraged to drive business outcomes.
• Advanced Analytics: Lead the application of predictive modeling, machine learning, and customer segmentation to enhance personalization, refine pricing strategies, and forecast demand. Partner with data scientists and data engineering to ensure data is available and leveraged to drive outcomes
• Global Data Standardization & Governance: Lead the integration and unification of global data sets, standardizing data structures and ensuring consistency across international markets to drive strategic decision-making. Develop and implement scalable data governance frameworks to harmonize disparate data sources, enhancing analytical capabilities and operational efficiency. Ensure compliance with security and privacy regulations (e.g., GDPR, CCPA, HIPAA, SOC 2) while maintaining customer trust and data integrity.
• Cross-Functional Impact: Work with marketing to decode customer behavior and channel attribution, with finance to sharpen revenue insights, with operations to streamline event execution, and with sales to optimize pricing and on-sale strategies—all through data-driven approaches. Partner with technology teams to enhance data accessibility, improve reporting automation, and scale analytics solutions across the organization.