Director, Business Intelligence

Topgolf•Dallas, TX

About The Position

The Director, Business Intelligence is the senior leader accountable for business intelligence end to end, including data quality and consistency, metric governance, self-service analytics, and the use of analytics and AI to improve decisions and work. The role establishes a trusted data foundation that enables teams across Topgolf to use AI confidently. It leads a team of approximately 20 product owners and data engineers, partners with commercial, operations, finance, and venue leaders, and represents analytics in Technology planning and architecture decisions. The position reports to the VP of Finance and BI and serves the whole company, not Finance alone. In the first 12 months, success includes establishing a consistent set of certified metrics with named owners, retiring conflicting reports, growing self-service adoption, and delivering trusted operational views for venue leaders. AI assistants should answer business questions using certified metrics, honor access rules, and have a defined review and correction process. The role also develops advanced forecasting capabilities to improve visibility into revenue, demand, and business performance. The Director leads and develops the BI team, owns its delivery standards and cadence, and sets the BI product roadmap across corporate functions and venue operations. The role establishes data quality and governance practices, oversees curated business-facing data models and reporting, and chairs a data governance group. It partners closely with Technology teams and upstream data owners on architecture, integrations, pipeline reliability, data contracts, platforms, security, and analytics capabilities. The Director also owns the reporting and analytics platform, annual BI budget, vendor relationships, and cost-management efforts.

Requirements

10+ years in business intelligence, analytics, or analytics engineering, including 5+ years leading teams.
Track record of resolving data trust issues, retiring conflicting reports, and establishing lasting governance, self-service, and adoption programs.
Experience managing external consulting or systems-integration partners on data or BI programs.
Credibility with senior Finance and venue operations leaders and ability to influence across business and technology teams without authority.
Deep technical credibility in enterprise BI and cloud data warehouse platforms, SQL, and dimensional modeling, with judgment to evaluate and adopt platforms as the business changes.
Experience owning a significant budget, including vendor management and forecasting consumption-based cloud spend.
Experience leading adoption of AI-enabled analytics on governed enterprise data, including personal daily use of AI and measurable improvement in decisions or productivity.
Experience in a multi-unit, shift-based business such as restaurant, hospitality, entertainment, or retail, with working knowledge of venue-level P&L, labor, and guest analytics.
Bachelor’s degree in Business, Analytics, Computer Science, Statistics, Economics, or equivalent practical experience.

Nice To Haves

Experience building a guest or customer 360 view and enterprise data governance forums.
Familiarity with FinOps and software capitalization (ASC 350-40 / ASU 2018-15).

Responsibilities

Lead, coach, and develop the BI team of product owners and reporting engineers; set priorities, delivery speed and predictability, and develop future leaders.
Coach product owners on requirements gathering, backlog management, acceptance criteria, stakeholder communication, and making trade-offs.
Set and enforce team standards for SQL, data modeling, version control, code review, testing, documentation, and dashboard design.
Establish a disciplined delivery cadence covering intake, prioritization, release planning, and review while balancing executive requests, roadmap commitments, and technical debt.
Set expectations for team use of AI and require human review of AI-generated work.
Establish a data quality framework and maintain accurate, accessible, well-documented curated models that business users can find and use.
Make curated models the authoritative source for core business metrics, require end-to-end metric testing, and retire conflicting reports and calculations.
Define governance processes for metric ownership, approvals, calculation logic, validation, documentation, and change control.
Chair a data governance group that reviews and approves broad-audience reporting; partner with Security and Compliance on access, PII, consent, retention, and privacy requirements.
Establish AI governance for data access, validation of answers, and reporting and correcting errors in AI-enabled analytics.
Connect visitation, spend, membership, segment, channel, promotions, frequency, and occasion data across business systems into a trusted guest and venue view within privacy requirements.
Own the BI product roadmap across corporate functions and venue operations, prioritize enterprise value, and make trade-off decisions when demand exceeds capacity.
Serve corporate stakeholders needing depth and cross-venue comparisons and venue leaders needing fast, actionable operational views.
Build a self-service reporting environment, including plain-language questions answered from certified data; enable users, measure adoption, and retire low-usage assets.
Own executive scorecards and metrics reported to leadership and the board, reconciling them with Finance at each close.
Build relationships with Data Engineering, Application Development, Product, Infrastructure, and Security, and represent reporting in planning and design forums.
Participate early in architecture and design reviews, new-system and integration intake, and vendor selection to define data access, event capture, and reporting requirements.
Partner with Data Engineering on pipeline reliability, data freshness, query performance, warehouse sizing, and cost.
Document data ownership across the stages from source to certified metric; own curated, business-facing models and reporting freshness standards.
Set a point of view on data platforms and reporting tools and lead consolidation where it reduces cost and confusion.
Work with data science and advanced analytics teams to determine where forecasting, segmentation, and modeling work belongs and how outputs are governed and published; leverage MCP-connected data sources and LLM-enabled analytics.
Establish data contracts and change-notification expectations with upstream system owners.
Own the reporting and analytics platform, including user access controls, and ensure reliability, security, and capacity standards are met.
Own the annual BI budget for software, licensing, cloud consumption, and professional services; develop and defend the plan and manage spending through the year.
Ensure monthly vendor charges are validated against contracted rates and expected consumption and resolve material discrepancies.
Drive cost efficiency through query optimization, capacity right-sizing, license true-ups, and retirement of unused tools and assets.
Lead vendor renewals and negotiations using usage data and business justification, in partnership with Procurement and Legal.