Lead, Data Visualization & Business Intelligence

About the role

The Royal Caribbean Group is seeking a Lead Business Intelligence Analyst to serve as the technical and design anchor of the Data Visualization & Business Intelligence (DVBI) team. This is the highest individual contributor role on the team — someone who sets the standard for how BI is built, visualized, and delivered across the organization.

Responsibilities

• Own the DVBI data visualization framework — defining visual hierarchy standards, typography guidelines, color governance, chart selection criteria, and audience-appropriate design patterns for the entire team.
• Design the team's most complex executive dashboards — KPI frameworks, narrative-driven layouts, and multi-page analytical experiences that make insights immediately actionable for senior leadership.
• Conduct visual design reviews alongside technical code reviews — ensuring every dashboard the team ships meets both the analytical and visual quality bar.
• Champion accessibility standards — WCAG contrast compliance, colorblind-safe palettes, and screen-reader-compatible formatting across all DVBI-published content.
• Govern the Databricks SQL Warehouse strategy — compute configurations, query optimization standards, and BI-optimized access patterns.
• Architect Power BI Direct Lake connectivity to Databricks — establishing reusable integration patterns across SQL Warehouses and Fabric Lakehouse.
• Lead the team's engagement with the medallion architecture — defining Gold-layer consumption patterns and shaping Silver-to-Gold transformation requirements with Data Engineering.
• Own Databricks Unity Catalog governance — access control, lineage, tagging, and certified data product management for DVBI.
• Write and review PySpark and Databricks SQL for complex transformations and aggregations that feed the visualization reporting layer.
• Lead DVBI's AI strategy — governing Power BI Copilot, Databricks Genie / LakehouseIQ, Fabric AI, and Azure OpenAI, including visual design standards for AI-generated outputs.
• Set Power BI architecture standards — composite models, shared semantic models, RLS, deployment pipeline governance, and custom visual approval.
• Mentor all DVBI team members on technical, visualization, and AI tooling — conducting code reviews, design critiques, and structured skill-building sessions.
• Present BI roadmap, visualization strategy, Databricks platform decisions, and AI adoption progress to VP- and AVP-level leadership independently.

Qualifications, Knowledge And Skills

• 7+ years of progressive BI experience with clear evidence of increasing technical scope and leadership over time.
• Demonstrated excellence in data visualization design — visual hierarchy, color theory, chart selection, executive dashboard design, and accessibility standards — with visible evidence of design quality alongside technical capability.
• Expert-level Power BI mastery — composite models, Direct Lake on Databricks and Fabric, advanced DAX, shared semantic models, RLS, and deployment pipeline ownership.
• Production-level Databricks experience — SQL Warehouses, Delta Lake, notebooks, Unity Catalog, and Databricks-to-Power BI integration.
• Advanced SQL across enterprise environments — Databricks SQL, Oracle, SQL Server, and Fabric Lakehouse.
• Demonstrated experience setting technical and design direction for a team — owning standards, leading reviews, making architectural and visual decisions.
• Executive-level communication — you present to VPs and AVPs independently, and you make both data and design decisions legible to business audiences.
• Technical & Design Skills:
  • Data Visualization — visual hierarchy, typography, color theory, chart selection, executive & operational dashboard design, WCAG accessibility standards, storytelling with data, branded theme ownership.
  • Databricks — SQL Warehouses, Delta Lake, PySpark, notebooks, workflows, Unity Catalog, Repos / Git, Genie / LakehouseIQ, Direct Lake connectivity to Power BI.
  • Power BI Desktop & Service — expert: composite models, Direct Lake (Databricks & Fabric), advanced DAX, shared semantic models, RLS, deployment pipelines, custom visual governance.
  • SQL — advanced: window functions, CTEs, query optimization across Databricks SQL, Oracle, SQL Server, and Fabric Lakehouse.
  • Microsoft Fabric — Lakehouse, Dataflows Gen2, Direct Lake, Real-Time Intelligence, and Fabric-Databricks integration.
  • Python / PySpark — production data transformation, automation, and AI/ML integration (strongly preferred).
  • AI Tools — Databricks Genie / LakehouseIQ, Power BI Copilot, Fabric AI, Azure OpenAI (expected to lead and govern, not just use).
  • Power Query / M — advanced transformation patterns and dataflow governance.
  • Excel (Advanced), SharePoint, Microsoft Teams, Power Automate.

Preferred Experience

• Building or owning a team-wide visualization design system — chart standards, color governance, accessibility rules, and design review processes.
• Deep Databricks expertise — PySpark, Databricks workflows, Repos / Git, medallion architecture governance, and Genie / LakehouseIQ at production scale.
• Production Microsoft Fabric experience — Lakehouse, Dataflows Gen2, Direct Lake, and Fabric-Databricks integration patterns.
• Deep AI tool experience — Power BI Copilot, Databricks Genie, Azure OpenAI, Fabric AI — including governance and visualization guidance for AI-generated outputs.
• Strong Python / PySpark proficiency — production use for transformations, automation, and AI/ML pipeline integration.
• Background in revenue management, yield analytics, financial planning, or travel and hospitality data environments.
• Master's degree in a quantitative or design-related field.