Director, Business Intelligence
Topgolf Payroll Services
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Benefits offered by this job
Job summary
Topgolf, a leading entertainment and hospitality concept in the United States, seeks a Director of Business Intelligence to own end-to-end data quality, governance, and analytics across the company. You will build trusted metrics and enable teams to use data confidently.
You will lead a ~20-person BI team of product owners and data engineers, partner with finance, operations, venues, and technology, and shape the analytics roadmap, forecasting, and AI-enabled insights to improve decisions and
Qualifications
- 10+ years in BI analytics or analytics engineering.
- Experience leading teams and enterprise data initiatives.
- Proven ability to fix data trust issues and governance.
- Strong communication with executives and venue operations.
Responsibilities
- Lead BI team of product owners and data engineers; set priorities.
- Define metrics governance, data quality, and certified metrics.
- Own executive scorecard and reporting to leadership.
- Partner with Data Engineering on pipelines and data freshness.
- Develop forecasting capabilities using data science.
- Build self-service reporting and AI-enabled analytics.
Skills
Education
Job description
The Director, Business Intelligence is the senior leader accountable for BI end to end: the quality and consistency of our data, the governance behind our metrics, how easily the business can use data on its own, and how we use analytics and AI to improve decisions and how work gets done. The Director also makes the trusted data foundation that lets every team at Topgolf use AI in its own work with confidence.
The Director leads the BI team of product owners and data engineers (~20 headcounts), partners with commercial, operations, finance, and venue leaders, and represents analytics in Technology’s planning and architecture decisions. The role reports to the VP of Finance and BI and serves the whole company, not Finance alone.
Executives, Finance, and venue leaders work from one set of certified metrics, and the same number appears no matter who pulls it.
Every certified metric has a named owner, and conflicting reports and calculations are retired, with the count published.
Business users answer their routine questions without a ticket, and self-service adoption grows each quarter.
Venue leaders have a short set of operational views they trust and use during a shift.
AI assistants answer business questions from certified metrics, respect data access rules, and have a clear process for review and correction when they are wrong.
Develop advanced forecasting capabilities leveraging data science to improve visibility into future revenue, demand and business performance.
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 (intake, prioritization, release planning, and review) that balances executive requests, roadmap commitments, and technical debt.
Set the standard for how the team uses AI in its daily work, expect every team member to use it to deliver faster and at higher quality, and require human review of what AI produces.
Data quality and usability: Establish a data quality framework and own curated, well-documented models that are accurate, accessible, and easy for business users to find and use.
Single source of truth: Make these models the authoritative source for core business metrics, require end-to-end testing of current and new metrics, and retire conflicting reports and calculations.
Data and reporting governance: Define the process for new metrics and definitions, including ownership, approvals, calculation logic, validation, documentation, and change control.
Data committee: Chair a small governance group that reviews and approves reporting for broad audiences, and partner with Security and Compliance on access, PII, consent, retention, and privacy requirements.
AI governance: Make certified metrics the foundation for AI-enabled analytics so assistants and automated tools give answers the business can trust.
Define what data AI tools can access, how their answers are validated, and how errors are reported and corrected.
Continually connect visitation, spend, membership, segment, channel, promotions, frequency, and occasion across POS, reservations, loyalty, marketing, labor, finance, and survey systems into a single, trusted view of the guest and the venue, within privacy requirements.
Own the BI product roadmap across corporate functions and venue operations, set priorities on enterprise value rather than on any single function’s request, and make the trade‑off calls when demand exceeds capacity.
Serve two audiences: corporate stakeholders who need depth and cross‑venue comparison, and venue leaders who need a few fast, unambiguous operational views they can act on during a shift, such as bay utilization, labor against demand, food and beverage, and event performance.
Build a self-service environment so business users can create their own reporting, including asking questions in plain language and getting answers from certified data.
Shift the team from producing reports on requests to enabling others, measure adoption, and retire low‑usage assets.
Own the executive scorecard and the metrics reported to leadership and the board and reconcile them with Finance at each close so there is one agreed number.
Build durable relationships with Data Engineering, Application Development, Product, Infrastructure, and Security, and represent reporting in their planning and design forums.
Join architecture and design reviews, intake for new systems and integrations, and vendor selection early, so data access, event capture, and reporting requirements are defined before build rather than retrofitted.
Partner with Data Engineering on pipeline reliability, data freshness, query performance, warehouse sizing, and cost.
Agree and document with Data Engineering and the teams that ingest data from across the company who owns each stage from source to certified metric; BI owns the curated, business-facing models and the freshness standards reporting requires.
Set a clear point of view on how many data platforms and reporting tools the company needs, and lead consolidation where it lowers cost and confusion.
Build and work with any data science and advanced analytics teams to define where forecasting, segmentation, and modeling work lives, and how their 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 don’t silently break reporting.
Own the reporting and analytics platform, including the access controls that determine what each user can see, ensuring it is run to defined standards for reliability, security, and capacity.
Own the annual BI budget for software, licensing, cloud consumption, and professional services; build the plan, defend it in the budget cycle, and manage to 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.
10+ years in business intelligence, analytics, or analytics engineering, including 5+ years leading teams Track record of fixing data trust issues, including retiring conflicting reports, and establishing governance, self-service, and adoption programs that last.
Experience managing external consulting or systems-integration partners on data or BI programs.
Credibility with senior leaders in Finance and venue operations and proven ability to influence without authority across business and technology teams.
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.
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).
- Free Play & 1/2 price food!
- Health, dental, vision
- 401(k) team member match
- free mental well-being platform - and that’s just for starters for those who qualify.
View team member benefits here.
- Free Play & 1/2 price food!
- Health, dental, vision
- 401(k) team member match
- free mental well-being platform - and that’s just for starters for those who qualify.
View team member benefits here.
The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties.
Topgolf is a global sports and entertainment community and is committed to equal opportunity and is firmly committed to preventing discrimination and harassment, including sexual misconduct, based on legally protected diversity characteristics (such as race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, family status, citizenship, genetic information and veteran status) in its application and hiring processes and in its employment decisions. As an affirmative action employer, Topgolf also takes steps to prevent retaliation and to create a respectful, equitable and inclusive environment for our Guests, Associates, business partners, vendors, and the communities we serve. Topgolf is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.
Topgolf Entertainment Group does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Topgolf will not pay fees for unsolicited agency resumes and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Topgolf Entertainment Group and will be processed accordingly without fee.
Topgolf participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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