Senior Vice President, Data Strategy & Analytics

Essential Duties & Responsibilities

• Partner with the Chief Data & Technology Officer and corporate strategy team to define and execute Learfield's enterprise data strategy, aligning data, AI, engineering, and product investments with business growth and client outcomes.
• Lead, develop, and evolve a team of 15+ across product managers, data engineers, and BI analysts while evaluating organizational structure and capabilities to support future growth.
• Effectively partner with executive, product, sales, and client-facing teams to translate data capabilities into commercial value and competitive differentiation.
• Own and evolve Learfield's enterprise data platform spanning fan identity, ticketing, donations, digital engagement, sponsorship, campaign, and marketing data to create a scalable foundation for analytics, activation, and commercialization.
• Establish strong data governance, quality, privacy, and compliance practices appropriate for handling large volumes of consumer and transactional data.
• Drive data and products with commercial impact by developing scalable products that create measurable value for schools, brand partners, sponsorship sales, and internal stakeholders.
• Leverage data to unlock new sponsorship opportunities, improve campaign measurement, enable premium sponsorship pricing, and create new revenue opportunities for Learfield and its partners.
• Deliver analytics and BI that quantify fan engagement and revenue generation and clearly demonstrate ROI to clients.
• Serve as a senior, credible voice with strategic clients and partners on data strategy, capabilities, and value.
• Guide the team to build native-AI semantic layers across disparate datasets leveraging AI-native approaches to make insights accessible to non-technical users.
• Define the common data model and semantic layer that connects fan, ticketing, donation, campaign, web, email, and partner data into trusted metrics, reusable segments, and activation-ready audiences.

Minimum Qualifications

• 15+ years of experience in data, analytics, or data engineering, including significant time in senior leadership roles.
• Demonstrated experience building and leading multidisciplinary teams (engineering, product, and analytics) of people across both enterprise data architecture and data products — not just one or the other.
• Hands-on experience with leading cloud data providers such as Snowflake or Databricks is required.
• Experience applying LLMs and other AI-native approaches to make data accessible and actionable.
• Demonstrated success using data to power personalization, fan/customer engagement, and revenue generation.
• Strong grounding in data governance, privacy, and security for large-scale consumer and transactional data.
• Excellent executive communication and stakeholder management, including client-facing experience.

Preferred Qualifications

• Hands-on familiarity with data clean rooms and privacy-safe data collaboration.
• Experience in live events, sports, ticketing, fundraising/donations, or college athletics.
• Background in ad tech, MarTech, and/or sponsorship measurement.
• Experience commercializing data products in a B2B software environment.