Head of Advanced Analytics
Brooklyn, NY 11232 · Industry City, Brooklyn · USD 175,000-215,000 · 3+ years experience · Hybrid · Posted Oct 9, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Hybrid
- Location
- Brooklyn, NY 11232 · Industry City, Brooklyn
- Salary
- USD 175,000-215,000 · Base salary
About the role
- 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.
- This role will be responsible for translating the organization's data and analytics strategy into scalable technical capabilities, actionable insights, and measurable business outcomes.
- The 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.
Responsibilities
- Lead Advanced Analytics Functions: Oversee the day-to-day strategy, execution, and performance of the Data Science, Business Intelligence, and Data Engineering teams.
- Advance the Enterprise Data Ecosystem: Lead the design and implementation of scalable data infrastructure, including a medallion architecture framework.
- Build Trusted Semantic Data Layers: Develop and maintain semantic data models that translate complex underlying data structures into consistent business definitions.
- Transform Business Intelligence and Visualization: Establish scalable dashboarding standards, intuitive data access tools, visualization guidelines, and reporting governance practices.
- Champion AI-Driven Analytics: Identify and implement opportunities to integrate artificial intelligence, natural-language analytics, intelligent recommendations, automation, and guided insights.
- Lead Data Science and Machine Learning Development: Oversee the design, development, testing, deployment, and monitoring of descriptive, predictive, and prescriptive analytical models.
- Drive Fan and Customer Growth Initiatives: Lead the development of advanced analytical solutions supporting customer lifetime value forecasting, subscriber lapse propensity, lead scoring, and season-ticket member retention.
- Strengthen Data Engineering and Integration: Direct the development and optimization of sustainable data pipelines, automated workflows, and integration processes.
- Build and Develop High-Performing Teams: Manage, mentor, and develop a multidisciplinary team of data scientists, business intelligence professionals, and data engineers.
- Partner with Business Leaders: Collaborate with stakeholders across Marketing, Ticketing, Corporate Partnerships, Digital, Finance, Hospitality, and Operations to prioritize analytical initiatives.
Requirements
- 8+ years of progressive experience in data science, advanced analytics, business intelligence, data engineering, or related disciplines.
- 3+ years of experience managing and developing technical teams.
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Business, or a related field, or an equivalent combination of education and relevant professional experience.
- Hands-on experience with modern data and analytics platforms such as Snowflake, dbt, Tableau, ThoughtSpot, or comparable technologies.
- Strong technical proficiency in SQL, Python, R, database management, data visualization, and cloud-based data infrastructure.
- Experience designing and implementing modern data architectures, including semantic data layers, data transformation frameworks, automated pipelines, and data governance practices.
- Demonstrated experience developing, deploying, and maintaining predictive and machine learning models.
- Strong understanding of artificial intelligence, machine learning, statistical modeling, experimentation, and emerging analytics technologies.
- Experience working within cloud environments, preferably Amazon Web Services.
- Strong communication and presentation skills, with the ability to translate complex technical concepts into clear business recommendations.
Preferred qualifications
- Experience applying advanced analytics within sports, entertainment, media, hospitality, ticketing, or other consumer-focused industries.
- Experience developing customer-focused models, including lifetime value, propensity, retention, segmentation, and marketing effectiveness.
- Familiarity with medallion architecture, machine learning operations, enterprise data governance, and responsible AI practices.
- Amazon Web Services certification or comparable cloud platform credentials.
Benefits
- Bonus eligibility
- Medical, dental, and vision coverage
- HSA and FSA eligibility
- 401k Employer Match at 4%
- Competitive PTO policy & Company Holidays
- Parental leave policy eligible after 6 months of service
- Access to events at Barclays Center, subject to ticket availability
- Free lunch onsite Monday - Thursday
- Onsite barista bar
Workplace
- Work primarily in an office environment located in Industry City, Brooklyn, NY.
- Infrequent travel (less than 5%) may be required, which may include air travel and/or overnight stays.
Skills
- SQL
- Python
- R
- Snowflake
- Dbt
- Tableau
- ThoughtSpot
- Amazon Web Services
- Machine Learning
- Data Engineering
- Business Intelligence
- Data Governance
