Manager, Business Intelligence

The Manager, Business Intelligence leads a team of product owners and reporting engineers who build and maintain the reporting our corporate business areas and venues run on. You set the standard for how data is modeled, defined, and delivered in Amazon Quick Suite (Quick Sight) on top of Redshift and Snowflake, and you connect two halves of the team: the product owners who own the relationship with the business and the backlog, and the engineers who build against it.

Success is measured less by dashboards shipped and more by decisions improved — how fast a venue GM or a corporate leader gets a reliable answer, and how much they trust it.

• Lead, coach, and develop a team of BI product owners and reporting engineers; own hiring, onboarding, performance, and career growth across two distinct skill tracks.
• Develop product owners in requirements gathering, backlog management, stakeholder communication, acceptance criteria, and saying no well.
• Develop reporting engineers in SQL, data modeling, Quick Suite development, and engineering craft.
• Hold the line between the two: ensure requirements arrive well-defined and that engineers aren't absorbing unscoped work mid-sprint.
• Run the team's delivery cadence — intake, prioritization, sprint or release planning, and demo/review — balancing executive asks against roadmap commitments and technical debt.
• Establish and enforce team standards for SQL, data modeling, version control, code review, testing, documentation, and dashboard design consistency.

• Own the BI product roadmap across corporate functions and venue operations; make the trade-off calls when demand exceeds capacity.
• Ensure each business area — Finance, Operations, Marketing, F&B, Guest Experience — has a clear product owner relationship and a visible backlog.
• Define what "done" means for a report: validated against source, documented, performance-tested, adopted, and supported.
• Balance the two audiences the team serves: corporate stakeholders who need depth and cross-venue comparison, and venue leaders who need a small number of fast, unambiguous operational views they can act on during a shift.
• Manage the full lifecycle of reporting assets — intake, build, release, adoption tracking, iteration, and retirement.

• Build durable working relationships with Data Engineering, Application Development, Product, Infrastructure, and Security, and represent reporting’s interests in their planning and design forums.
• Get the BI team into the room early: participate in architecture and design reviews, intake for new systems and integrations, and vendor selection, so that data access, event capture, and reporting requirements are defined before build rather than retrofitted after launch.
• Establish data contracts and change‑notification expectations with upstream system owners so schema and vendor changes don’t silently break downstream reporting.
• Advocate for the instrumentation and source‑system data quality needed to answer the questions the business actually asks.
• Ensure reporting requirements and BI capacity are represented in technology roadmap and release planning, and that BI work is sequenced alongside — not behind — the projects that generate it.
• Partner with Security and Compliance on access models, data classification, and audit requirements for BI content.

• Own the Quick Suite environment end to end: datasets, SPICE refresh strategy and capacity, dashboards, analyses, folders, and row‑level security.
• Design governed, certified datasets that connect cleanly to Redshift and Snowflake, choosing appropriately between direct query and SPICE based on volume, freshness, and cost.
• Administ…