Director of Business Intelligence

Director Of Business Intelligence

The Director of Business Intelligence serves as a strategic leader responsible for transforming data into meaningful insights that drive decision making across all Pacers Sports & Entertainment (PS&E) brands. This role blends strong technical expertise with exceptional business acumen to identify trends, uncover opportunities, and guide revenue-generating and efficiency enhancing initiatives.

The ideal candidate is equally comfortable architecting data models as they are presenting concise, actionable insights to executives. They will oversee the acquisition, governance, and enrichment of data assets, ensuring the organization leverages high quality, connected data to inform marketing, ticketing, partnerships, operations, and overall business performance. A key responsibility of this role is upholding data quality as a foundational priority and building trust in data across the organization.

This leader will proactively analyze complex datasets, distill key takeaways, and anticipate the needs of stakeholders across departments. They will champion a data-driven culture: empowering teams with dashboards, predictive models, and strategic recommendations that improve customer understanding, optimize performance, and maximize ROI.

Essential Duties/Responsibilities:

• Apply advanced data modeling, predictive analytics, and statistical techniques to uncover trends, interpret key findings, and translate insights into initiatives that drive measurable business outcomes.
• Lead the development and deployment of data-driven solutions across the organization, ensuring insights are actionable and embedded into decision-making processes at all levels.
• Design, build, and maintain enterprise dashboards and analytical reports that track KPIs, monitor performance, and evaluate the ROI of marketing, sales, partnerships, and operational strategies.
• Own the organization's survey strategy, including the design, deployment, and optimization of surveys that capture customer, fan, partner, and prospect sentiment and behaviors.
• Synthesize data into actionable insights, delivering clear visualizations and storytelling in strategic presentations that support executive decision-making and cross-department alignment.
• Analyze full-funnel marketing performance and optimize campaign revenue tracking through direct and influenced revenue across email, SMS, social ads and more to evaluate channel effectiveness, guide optimization decisions and audience curation, and enhance budget allocation strategies.
• Perform market research and competitive analysis to identify macro trends, benchmark performance, and uncover new opportunities for revenue growth and fan engagement.
• Lead audience research, predictive modeling, segmentation, and persona development to strengthen targeting, personalization, product strategy, and sponsorship storytelling.
• Oversee, develop, and mentor analysts, fostering a culture of curiosity, analytical rigor, and continuous improvement within the BI team.
• Champion data quality, acquisition, and governance, ensuring the organization consistently leverages clean, connected, and enriched data assets.
• Collaborate cross-functionally with marketing, ticketing, partnerships, finance, operations, and product teams to identify analytical needs and maximize business impact.
• Oversee target audience creation and net new ingestion and predictive modeling for the Retail Media Network as well as track outcomes and opportunity for growth.
• Perform other duties and lead strategic projects as assigned.

Qualification Requirements:

• Bachelor's degree required, with strong preference for analytics, statistics, computer science, economics, or a related technical discipline.
• 8+ years of experience in business intelligence, marketing analytics, sales analytics, or similar analytical role.
• 5+ years of supervisory or team-lead experience, including coaching and developing analysts.
• Exceptional communication skills, with the ability to translate complex analytical concepts for audiences of all technical levels.
• Advanced SQL proficiency, including multi-table joins, subqueries, and performance-optimized querying.
• Strong grounding in data mining and data engineering principles, including predictive analytics, data mapping, and integrating on-premises and cloud-based data sources.
• Hands-on experience with statistical modeling techniques, such as GLM, logistic regression, variable selection, and other predictive methods.
• Experience writing advanced SAS code, including complex models, macros, and automation workflows.
• Proficiency with Qualtrics and experience integrating survey data into CRM systems to enrich customer profiles.
• Technical competency with statistical tools (Excel, R, or similar) and data visualization platforms (Tableau, Power BI, or equivalent).
• Demonstrated experience working collaboratively across diverse business units, such as marketing, sales, partnerships, finance, and operations.
• Experience in sports or entertainment industries is a plus but not required.

Physical and Environmental Demands:

• Sit
• Stand
• Walk
• Speak in public
• Use telephone
• Use computer
• Speak, hear and write

Work Environment:

• The noise level in the office work environment is usually moderate.
• The noise level in Gainbridge Fieldhouse/game environment is usually loud.
• The stress level may become high during certain times.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.