Director, Business Intelligence and Analytics, TD Garden

Lead, mentor, and develop two Senior Managers and their teams across the Business Intelligence and Data Strategy & Integrations verticals, establishing clear goals, priorities, and professional development plans

Translate the VP’s enterprise-wide data and digital transformation vision into actionable departmental roadmaps, OKRs, and execution plans

Set and enforce standards for quality, rigor, and consistency across all analytical outputs, data products, and technical deliverables

Build team capacity and organizational structure to scale with business growth, including workforce planning, hiring, and role definition

Serve as the department’s primary escalation point and decision-maker for cross-functional issues, resource conflicts, and stakeholder concerns

Oversee the creation and optimization of dashboards, KPI frameworks, pricing models, and analytical tools that empower Ticketing, Premium, Partnerships, and other revenue-driving departments

Ensure the BI team delivers digestible, defensible, and actionable reporting that informs executive decision-making on a daily, monthly, and seasonal cadence

Guide the development of real-time pricing recommendations, revenue forecasting models, and inventory management strategies for key products (tickets, partnership assets, parking, etc.)

Champion evidence-based decision-making across the organization by making data accessible, understandable, and integrated into business workflows

Own the enterprise-level customer data strategy, including architecture, governance, integration, and long-term scalability aligned to organizational goals

Oversee the management, optimization, and integration of core platforms including Salesforce (Sales Cloud, Service Cloud, Marketing Cloud), data warehouse (KORE / equivalent), ticketing systems, and all associated ETL pipelines

Drive progress toward a unified “Golden Record” for customers/fans, ensuring accuracy, identity resolution, and completeness across all data systems

Lead the roadmap for AI/ML capabilities including predictive modeling, personalization, churn prediction, and generative AI applications to unlock business value

Serve as the senior data and analytics liaison to department heads across TD Garden and the Boston Bruins, building trusted advisory relationships that drive adoption and alignment

Partner with Ticketing, Premium, Partnerships, Marketing, Digital, and Guest Relations to embed data-driven workflows across the full customer lifecycle

Collaborate with the VP on executive-level reporting, board presentations, proformas, and strategic investment evaluations

Coordinate with Delaware North corporate IT and enterprise data teams to ensure alignment on infrastructure, security, and governance standards

Act as a senior stakeholder liaison: engage with senior leadership, business unit heads, and external partners/ vendors to align data strategy with organizational priorities and growth plans

Support broader business initiatives — leveraging data/analytics as needed for ad-hoc strategic projects, M&A diligence, new revenue streams, or special events

Bachelor’s degree required in Business, Economics, Information Systems, Computer Science, or related analytical field; Master’s degree or MBA strongly preferred

8 – 10+ years of progressive experience in data analytics, business intelligence, data strategy, or related functions, with at least 3–4 years in a people management role overseeing multiple teams or verticals Experience in the sports, entertainment, or live events industry strongly preferred

Experience in the sports, entertainment, or live events industry strongly preferred

Strong understanding of both the BI/analytics and data engineering/architecture disciplines, with the ability to provide technical guidance and quality oversight across both

Experience with CRM platforms (Salesforce ecosystem strongly preferred), marketing automation tools, ticketing systems (e.g., Ticketmaster Archtics), and data integration technologies

Familiarity with data warehouse platforms (e.g., KORE, Snowflake), ETL/ELT pipelines, and modern cloud data ecosystems

Hands-on comfort with analytics and visualization tools (e.g., Tableau, Power BI) and proficiency in SQL; experience with Python, R, or similar is a plus

Experience applying or overseeing advanced initiatives (predictive modeling, personalization, dynamic segmentation) in a business context

Proven ability to translate complex technical concepts into clear, compelling business terms for executive and non-technical audiences

Strong stakeholder management skills with demonstrated success partnering across revenue, sales, marketing, operations, and technology teams

Experience with data governance, privacy compliance (GDPR/CCPA), and building scalable data practices

Excellent written and verbal communication skills; comfort presenting to senior leadership and C-suite stakeholders

Highly organized, resourceful, and disciplined, with strong emotional intelligence and the ability to operate effectively in a fast-paced, high-visibility environment

Comfort managing sensitive and confidential business information with discretion

Willingness to work periodic evenings and weekends tied to home games and major events, and support infrequent domestic travel