Senior Director, Business Intelligence & Analytics

Role overview

The New York Islanders are seeking a Senior Director of Business Intelligence & Analytics to define and lead the organization’s data and analytics direction across the team and UBS Arena. This leadership role is responsible for building the roadmap, operating model, and hands-on analytical capability needed to turn business data into practical decisions and measurable outcomes.

The role combines strategic leadership with day-to-day execution. The successful candidate will work directly with data, including dashboarding, querying, reporting, forecasting, and ad hoc analysis, while also advising senior leaders on how to use analytics to improve fan engagement, revenue performance, and business planning.

About the organization

The New York Islanders are one of professional sports’ most historic franchises, supported by a devoted fan base and a legacy that includes four straight Stanley Cup championships in the 1980s and 19 consecutive playoff series wins. The organization operates from UBS Arena in Floral Park, NY, a modern venue built for hockey and music and located within the broader Belmont Park redevelopment area.

UBS Arena offers premium suites, clubs, lounges, and hospitality experiences designed to enhance the guest journey. The surrounding Belmont Park district is being developed into a larger entertainment destination, with Belmont Park Village planned for 2024 and a new Belmont Park Racetrack planned for 2026.

What you will do

• Lead analytics efforts across the business, with primary ownership of ticketing analytics including pricing, inventory optimization, yield management, and revenue forecasting.
• Work closely with senior leaders in sales, marketing, and ticket operations to align pricing decisions and go-to-market plans.
• Provide fast-turn decision support through ad hoc analysis and scenario modeling, including same-day requests when needed.
• Develop audience and targeting approaches that improve personalization, lifecycle marketing, paid media efficiency, and conversion.
• Use advanced statistical methods, predictive modeling, and data analysis to surface trends and convert findings into business action.
• Create, maintain, and improve dashboards and reporting tools that monitor KPIs and measure ROI across marketing, sales, partnerships, and operations.
• Support research and segmentation work such as persona development, audience analysis, and sentiment capture for fans, customers, and partners.
• Build forecasting models for revenue and consumer behavior.
• Set and run the organization’s data strategy so insights are practical, decision-ready, and aligned to the company’s AI transformation plans.
• Promote strong data quality, acquisition, and governance practices so teams can rely on clean, connected, and enriched data.
• Partner with the data vendor and data engineering resources to manage the business data warehouse and ETL layer, including integrating new data sources.
• Work with Finance and Technology leaders on capital planning and investment priorities for analytics platforms, data infrastructure, and fan intelligence tools.
• Shape the BI team’s structure, including roles, hiring plans, and capability building, while coaching and developing team members.
• Collaborate across marketing, ticketing, partnerships, finance, and operations to identify analytics needs and drive business value.
• Translate complex findings into clear recommendations for senior leadership and establish a regular business review cadence around KPIs, ROI, risks, and opportunities.
• Own business intelligence strategy, budget, and planning.
• Partner with AI leadership to evaluate and pilot AI/ML opportunities for fan intelligence, pricing, and business analytics.

Skills and experience needed

• 8 to 12 years of professional experience in business analytics or a related discipline.
• At least 4 years of managerial experience, including talent development.
• Strong academic background in a quantitative or business field such as Mathematics, Statistics, Computer Science, or Economics; an advanced degree is preferred.
• Deep working knowledge of SQL and relational databases, with a hands-on approach to analysis.
• Advanced experience with data visualization tools such as Tableau.
• Strong familiarity with Snowflake, Salesforce Sales Cloud and Marketing Cloud, or comparable platforms.
• Advanced Python skills.
• Experience with experimentation methods such as A/B testing and with attribution or marketing measurement approaches.
• Working knowledge of data modeling and ETL processes.
• Comfort handling urgent, detailed, day-to-day reporting and ad hoc requests, in addition to long-term planning.
• Strong analytical thinking and problem-solving ability.
• Ability to explain complex analytical concepts in simple business language.
• Proven skill in managing multiple priorities at the same time.

Work location and schedule

This is an onsite position based in Floral Park, NY. The role requires being in the office at least 3 days per week. The position also includes attendance at home games at UBS Arena and other events, which may take place on evenings, weekends, and holidays.

Compensation and benefits

The posted annual base salary range is $155,000 to $185,000. Final compensation will depend on role-related factors such as skills, education, training, experience, and market conditions.

• Medical, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off and holidays
• Professional development opportunities
• Opportunity to contribute to a storied NHL franchise with an ambitious championship goal

Equal opportunity statement

The New York Islanders are an equal opportunity employer and value a diverse workplace. Employment decisions are made without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.