VP, Data

About IMG Academy IMG Academy is the world s leading sports education brand, providing a holistic education model that empowers student-athletes to win their future while preparing them for college and for life. IMG Academy has been nationally recognized by organizations including Sports Business Journal, USA Today, and the Best and Brightest Companies to Work For for its workplace culture, innovation, and commitment to developing people both on and off the field. IMG Academy provides growth opportunities for student-athletes and partners through an innovative suite of on-campus and online experiences: • Boarding school and camps, delivered on a state-of-the-art campus in Bradenton, Florida • Online coaching through IMG Academy+, focused on personal development through the lens of sport and performance • Online college recruiting through NCSA College Recruiting and SportsRecruits, providing industry-leading recruiting education, tools, and access to a network of more than 40,000 college coaches for student-athletes, families, club coaches, and event operators • Elevate by IMG Academy, a performance and personal development solution that delivers mindset, leadership, and wellbeing programming to schools, colleges, and organizations through a combination of digital content and immersive experiences Position Summary As the Vice President, Data, you will lead transformative initiatives across omnichannel customer technology, enterprise data, analytics, and data science. Reporting directly to the SVP of Product, Data & Commercial Technology, this role is responsible for driving customer engagement, revenue growth, operational efficiency, and digital transformation across a multi-brand enterprise serving both B2B and B2C customers. The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable personalized customer experiences, data-driven decision-making, and scalable business growth. This leader will also build, develop, and inspire high-performing teams while fostering a culture of innovation and engineering excellence. You will lead two key functions: • Data Engineering & Business Intelligence: Responsible for modernizing enterprise data infrastructure, data platforms, governance, and business intelligence engineering. • Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data science to improve customer acquisition, onboarding, retention, engagement, and overall business performance. You have a proven track record of leading complex, cross-functional transformation initiatives from strategy through execution. You excel at delivering enterprise-wide programs aligned with C-suite priorities, driving measurable business outcomes while managing long-term initiatives across internal and external stakeholders. This is a highly collaborative leadership role, partnering closely with the Chief Commercial Officer, Business Unit COOs, SVP of Product & Design, SVP of Product Engineering, executive leadership, board members, and cross-functional teams to translate strategic business objectives into scalable technology solutions and deliver an integrated commercial, product, and customer experience strategy. You are a strategic, business-minded leader who builds high-performing organizations, leads through change, and consistently delivers results. You foster a culture of accountability, collaboration, continuous improvement, and empowered teams while maintaining a strong focus on business outcomes, innovation, and engineering excellence. Position Responsibilities: Strategic Leadership & Vision • Define and execute a comprehensive technology strategy for commercial systems, data infrastructure, and customer engagement platforms. • Build the next-generation customer engagement "Engine, delivering measurable improvements in customer acquisition, retention, ARPU, and EBITDA. • Build and maintain strong relationships with stakeholders from the board to practitioner- level to align technology initiatives with business objectives driving digital transformation. • Integrate data functions, unifying data infrastructure, creating self-service BI capacity, and optimizing teams to align data and analytics efforts with commercial, product, and CX goals. • Champion the shift to an integrated commercial and product strategy by enabling self- service for functional teams and delivering more high-value algorithmic work using AI/ML. Team Leadership and Development • Build and scale a high-performing team of ~25 FTEs and consultants, including resources for Engineering, Analytics, and Data Science. • Lead the transformation of the Data organization into a value-driven (vs. technology-driven) model supporting commercial, digital product, and customer experience domains. • Guide the evolution of the team from baseline support to a mature omnichannel enable...