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Topgolf International

Operator of tech-driven golf entertainment venues

Director Business Intelligence

Data Management +1Confirmed live in the last 24 hours
Full-timeDallas, TX, USANo salary listedIn-person

About the Job

Requirements

  • At least 10 years in business intelligence, analytics, or analytics engineering, including at least 5 years leading teams.
  • A track record of fixing data trust issues, including retiring conflicting reports, and establishing durable governance, self-service, and adoption programs.
  • Experience managing external consulting or systems-integration partners on data or BI programs.
  • Credibility with senior leaders in Finance and venue operations, and the 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 the judgment to evaluate and adopt new 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.

Responsibilities

  • Lead, coach, and develop the BI team of product owners and reporting engineers; set priorities, own delivery speed and predictability, and build the next layer of leaders.
  • Coach product owners in requirements gathering, backlog management, acceptance criteria, and stakeholder communication, including how to say no well.
  • Set and enforce team standards for SQL, data modeling, version control, code review, testing, documentation, and dashboard design.
  • Ensure a disciplined delivery cadence covering intake, prioritization, release planning, and review, balancing executive requests, roadmap commitments, and technical debt.
  • Set standards for team use of AI in daily work, expect team members to use it to deliver faster and at higher quality, and require human review of AI output.
  • Establish a data quality framework and own curated, well-documented models that are accurate, accessible, and easy for business users to find and use.
  • Make curated models the authoritative source for core business metrics, require end-to-end testing of current and new metrics, and retire conflicting reports and calculations.
  • Define processes for new metrics and definitions, including ownership, approvals, calculation logic, validation, documentation, and change control.
  • Chair a governance group that reviews and approves reporting for broad audiences, and partner with Security and Compliance on access, PII, consent, retention, and privacy requirements.
  • Make certified metrics the foundation for AI-enabled analytics; define data access, answer validation, and processes for reporting and correcting errors.
  • Connect visitation, spend, membership, segment, channel, promotions, frequency, and occasion across POS, reservations, loyalty, marketing, labor, finance, and survey systems into a trusted view of the guest and venue within privacy requirements.
  • Own the BI product roadmap across corporate functions and venue operations, prioritize enterprise value, and make trade-offs when demand exceeds capacity.
  • Provide corporate stakeholders with depth and cross-venue comparisons and venue leaders with fast, unambiguous operational views they can act on during a shift.
  • Build a self-service reporting environment, including plain-language questions answered from certified data; shift the team from producing requested reports to enabling users, measure adoption, and retire low-usage assets.
  • Own the executive scorecard and metrics reported to leadership and the board, and reconcile them with Finance at each close.
  • Build relationships with Data Engineering, Application Development, Product, Infrastructure, and Security, and represent reporting in their planning and design forums.
  • Participate early in architecture and design reviews, intake for new systems and integrations, and vendor selection so data access, event capture, and reporting requirements are defined before build.
  • Partner with Data Engineering on pipeline reliability, data freshness, query performance, warehouse sizing, and cost.
  • Document ownership with Data Engineering and data-ingestion teams for each stage from source to certified metric; own curated business-facing models and reporting freshness standards.
  • Define the company’s data-platform and reporting-tool needs, and lead consolidation where it lowers cost and confusion.
  • Work with data science and advanced analytics teams to define where forecasting, segmentation, and modeling work lives 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 so schema and vendor changes do not silently break reporting.
  • Own the reporting and analytics platform, including user access controls, and ensure it meets reliability, security, and capacity standards.
  • Own the annual BI budget for software, licensing, cloud consumption, and professional services; build and defend the plan and manage it through the year.
  • Hold the team accountable for validating monthly vendor charges against contracted rates and expected consumption, and resolve material discrepancies with vendors.
  • 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, partnering with Procurement and Legal.
  • Develop advanced forecasting capabilities using data science to improve visibility into future revenue, demand, and business performance.

Desired Qualifications

  • 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).

About the Company

Topgolf International

Operator of tech-driven golf entertainment venues

Topgolf uses high-tech driving ranges that blend golf with social entertainment. Players hit microchipped balls into targets to score points based on distance and accuracy, playing in bays that are charged by time. Venues combine sport with dining, drinks, and event spaces to create a social experience for families, friends, corporate groups, and golf enthusiasts. Compared with traditional golf or purely entertainment venues, Topgolf differentiates itself by integrating technology, a social atmosphere, and variety of revenue streams (venue time, food and beverage, events, and merchandise) into one experiential offering. The company’s goal is to grow its footprint by delivering scalable, engaging entertainment experiences that mix sport, technology, and hospitality across more locations both in the U.S. and internationally.

Company size
10,001+
Company stage
Acquired
Total funding
$301.4M
Headquarters
Dallas, TX
Founded
2000

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