Principal Commercial Data Modeler

MGM Resorts International
2d

About The Position

At MGM Resorts International, our mission is simple: to entertain the human race. Behind every iconic guest experience is a powerful data foundation. We are seeking a Principal Commercial Data Modeler to define and lead the enterprise vision for how our commercial data is structured, governed, trusted, and activated across the organization. This is a highly influential, expert-level individual contributor role that combines strategic leadership with hands-on technical guidance. You will shape how decision-ready metrics are defined, consumed, and leveraged across Marketing, Revenue Management, Loyalty, Digital, Operations, Data Science, and Analytics. If you are passionate about building enterprise-scale semantic foundations that power personalization, revenue optimization, experimentation, and AI, this role is for you.

Requirements

  • Bachelor’s degree or higher in Computer Science, Information Technology, or a related field
  • 10+ years of prior relevant experience in data modeling, analytics, or related field with enterprise-level impact
  • Demonstrated organization-wide influence on data modeling and analytics strategy
  • Experience defining enterprise standards, shaping semantic layers, and establishing KPI governance frameworks
  • Expert-level proficiency in SQL and PySpark, including designing and optimizing enterprise-scale pipelines
  • Deep mastery of dimensional, relational, event-based, and canonical data modeling approaches
  • Advanced knowledge of cloud lakehouse platforms such as Databricks, Delta Lake, and Unity Catalog
  • Strong experience with performance optimization, large-scale transformations, and cloud cost efficiency
  • Proven ability to implement governance, validation, lineage tracking, drift monitoring, version control, and enterprise documentation best practices

Responsibilities

  • Define and own the enterprise data modeling vision and multi-year roadmap across customer, transaction, product, marketing, and operational domains.
  • Establish and govern enterprise standards for KPIs, aggregates, attribution logic, grain definitions, and time-based semantics to ensure consistency across reporting, experimentation, and AI.
  • Lead cross-domain semantic design initiatives aligning Marketing, Loyalty, Digital, Revenue Management, and Operations.
  • Serve as a strategic advisor to executive leadership, translating modeling and semantic decisions into measurable business impact.
  • Influence cloud data platform strategy including lakehouse patterns, medallion architecture, semantic layers, feature stores, and BI/ML integrations.
  • Design governance frameworks for metric reliability including certification workflows, lineage, ownership models, versioning, and change management.
  • Ensure data models support advanced use cases such as personalization, forecasting, experimentation, fraud detection, and real-time decisioning.
  • Guide and review SQL and PySpark implementations in cloud environments, ensuring scalable, performant modeling patterns.
  • Connect analytics to activation by enabling consistent metrics across dashboards, marketing platforms, personalization engines, and downstream applications.
  • Champion adoption of trusted, decision-ready metrics to reduce fragmentation and increase enterprise confidence in insights.

Benefits

  • Prioritize your wellness, access programs crafted to nurture your mental and physical health.
  • Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond!
  • Savor delicious meals for free in our employee dining room.
  • Park with ease—whether you're on or off shift, it's free!
  • From healthcare to financial support and generous time-off options, we’ve got you covered.
  • Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities.
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