Head of Data

Light & Wonder

Head of Data responsible for building centralized data infrastructure and governance at Light & Wonder. Reporting to the Chief Strategy Officer to support enterprise AI transformation.

Posted 7/13/2026full-timeLas Vegas • Nevada • 🇺🇸 United StatesLead💰 $300,000 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data strategy and governance, with a strong focus on translating data investments into measurable business value. Proven ability to build and manage high-performing data teams in complex environments while collaborating effectively with executive leadership.

Highest-signal resume keywords

Data Strategy DevelopmentCloud Data Platforms (Snowflake, Databricks)Data GovernanceCross-Functional LeadershipAI Tooling Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData AnalyticsEnterprise Data GovernanceMeasurable Business Value TranslationModern Data Tooling (dbt, MDM)ML Platform FundamentalsTechnical Complexity ManagementProof Points DevelopmentTalent Acquisition and DevelopmentPublic-Company Compliance

Soft Skills

Strategic InfluenceCollaborationConflict NavigationExecutive CommunicationTeam Building

Industry Keywords

GamingHospitalityEntertainmentMediaMulti-Business-Unit Consumer Enterprise

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead the Build of L&W's Centralized Data Function
Develop and Execute the Multi-Year Data Strategy
Drive Measurable Business Value
Establish Enterprise Data Governance and Trust
Executive Leadership Collaboration and Strategic Influence

Requirements

What you’ll need

Significant experience leading data, analytics, or data engineering organizations at the VP, SVP, or Chief Data Officer level.
Track record of building data capability in technically complex environments, including organizations with fragmented systems, multiple ERPs, and limited integrated data infrastructure.
Comfort and credibility operating in technical complexity is essential.
Demonstrated ability to translate data investments into measurable business value, expressed in dollars of revenue, cost, or AEBITDA, rather than platforms shipped or models built.
Hands-on credibility in modern data infrastructure and data engineering, including cloud data platforms (Snowflake, Databricks, or equivalent), modern data tooling (dbt, MDM tooling), and ML platform fundamentals, sufficient to make architectural calls and hire well.
Strong working knowledge of current AI tooling, agentic workflows, LLM capabilities, and how they fit into an enterprise data strategy.
Proven ability to develop proof points and pilots through iterative phases, demonstrating value sequentially rather than betting on big-bang delivery.
Track record of building cross-functional coalitions with peer-level executives such as CTOs, CFOs, COOs, and BU heads, and navigating disagreements with peer technical leaders.
Demonstrated ability to attract, retain, and develop top-tier talent, with a track record of hiring people stronger than themselves and holding a high bar.
Public-company experience strongly preferred, including comfort with audit, regulatory, and disclosure requirements.
Industry experience in gaming, hospitality, entertainment, media, or another complex multi-business-unit consumer enterprise is a plus.

Benefits

Comp & perks

comprehensive company‑sponsored benefits, including medical, dental, vision, paid time off, a 401(k) plan, tuition assistance