Head of Analytics, AI & Data Platforms

JDS Sports; New York (NY); On-site; USD 160,000 - 215,000; Full time

Job summary

Brooklyn Sports & Entertainment is seeking a Head of Advanced Analytics to lead the Data Science, BI, and Data Engineering functions across its portfolio, including the Brooklyn Nets, New York Liberty, and Barclays Center. You will translate analytics strategy into scalable capabilities, build trusted data layers, and embed AI/ML into business processes.

The role requires 8+ years in analytics, 3+ years of team leadership, and hands-on experience with Snowflake, dbt, Tableau, and AWS.

Qualifications

• 8+ years in data science, analytics, BI, or data engineering with proven impact.
• 3+ years leading multidisciplinary technical teams.
• Bachelor's degree or equivalent experience in a related field.

Responsibilities

• Lead Data Science, BI, and Data Engineering teams to deliver measurable business value.
• Design scalable data infrastructure and governance with medallion architecture guidance.
• Develop semantic data models and standardized metrics for self-service analytics.
• Establish dashboarding standards and reporting governance across the organization.
• Champion AI-driven analytics and deploy ML models into production with governance.
• Drive customer growth analytics, forecasting, segmentation, and marketing effectiveness.
• Mentor teams and build a high-performing analytics organization.

Skills

Data science leadership

Business intelligence

Data engineering

SQL

Python

R

Cloud (AWS)

Tableau

ThoughtSpot

dbt

Education

Bachelor's degree in related field

Tools

Snowflake

dbt

Tableau

ThoughtSpot

AWS

Job description

Brooklyn Sports & Entertainment is seeking a Head of Advanced Analytics to lead the Data Science, BI, and Data Engineering functions across its portfolio, including the Brooklyn Nets, New York Liberty, and Barclays Center. You will translate analytics strategy into scalable capabilities, build trusted data layers, and embed AI/ML into business processes.

The role requires 8+ years in analytics, 3+ years of team leadership, and hands-on experience with Snowflake, dbt, Tableau, and AWS.