Head of Advanced Analytics at Brooklyn Sports & Entertainment

Brooklyn Sports & Entertainment creates bold, authentic, and unforgettable experiences that redefine sports, entertainment, and hospitality, The Brooklyn Way. As the parent company of marquee properties including the Brooklyn Nets, NY Liberty and Barclays Center, Brooklyn Sports & Entertainment operates at the intersection of live entertainment, premium hospitality, and community engagement.

As it expands its existing portfolio, Brooklyn Sports & Entertainment now includes BK Mag, Brooklyn Wine Club, and a hospitality business developing several location-based entertainment properties.

Whether on the court, on stage, or in the workplace, Brooklyn Sports & Entertainment is driven by a pursuit of excellence—constantly evolving, innovating, and pushing boundaries to elevate its business and expand its fan base. The company is deeply committed to fostering a culture of belonging and inclusion, both internally and across its communities, ensuring that every interaction reflects its values of growth mindset, integrity, accountability and care.

We are guided by our core values:

• Integrity: Be intellectually honest at all times. Demonstrate the highest professional and ethical standards.
• Care: Care for everything and everyone around us. Practice empathy, respect, and inclusion to promote an environment of excellence and success.
• Growth Mindset: Develop ourselves and those around us. Experiment, learn, and improve from everything we do.
• Accountability: Deliver on our word, take responsibility for our actions, and work in the interest of our team.

SUMMARY

The Head of Advanced Analytics will lead the Data Science, Business Intelligence, and Data Engineering functions across Brooklyn Sports & Entertainment's portfolio, including the Brooklyn Nets, New York Liberty, Long Island Nets, Barclays Center, and other emerging businesses. Reporting to the Vice President, Data, Analytics, and Insights, this role will be responsible for translating the organization's data and analytics strategy into scalable technical capabilities, actionable insights, and measurable business outcomes.

This individual will play a critical role in advancing a future-ready analytics ecosystem by strengthening enterprise data architecture, building trusted semantic data layers, expanding self-service analytics capabilities, and embedding artificial intelligence and machine learning into business processes and decision-making.

The Head of Advanced Analytics will oversee the design, development, and implementation of advanced analytical models, including predictive and prescriptive analytics, while ensuring the reliability, scalability, and governance of the organization's data infrastructure and business intelligence platforms. This role will establish technical standards, drive operational excellence, and lead a multidisciplinary team responsible for delivering high-quality data products and analytical solutions.

As a key partner to the Vice President, Data, Analytics, and Insights, the Head of Advanced Analytics will collaborate with business leaders and cross-functional stakeholders to identify opportunities where data can improve customer engagement, drive revenue growth, optimize business performance, and support strategic decision-making.

WHAT YOU WILL DO

• Lead Advanced Analytics Functions: Oversee the day-to-day strategy, execution, and performance of the Data Science, Business Intelligence, and Data Engineering teams, ensuring alignment with organizational priorities, consistent technical standards, and delivery of measurable business value.
• Advance the Enterprise Data Ecosystem: Lead the design and implementation of scalable data infrastructure, including a medallion architecture framework that organizes raw, refined, and business-ready data into trusted layers to improve data quality, governance, lineage, accessibility, and performance.
• Build Trusted Semantic Data Layers: Develop and maintain semantic data models that translate complex underlying data structures into consistent business definitions, standardized metrics, and reusable datasets, enabling reliable self-service analytics across the organization.
• Transform Business Intelligence and Visualization: Establish scalable dashboarding standards, intuitive data access tools, visualization guidelines, and reporting governance practices that enable stakeholders to quickly find, interpret, and act on trusted business insights.
• Champion AI-Driven Analytics: Identify and implement opportunities to integrate artificial intelligence, natural-language analytics, intelligent recommendations, automation, and guided insights into the tools and workflows employees use to access information and make decisions.

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