Vice President, Data Science

Aristocrat

Vice President leading enterprise data science, AI, and machine learning strategy for Aristocrat’s gaming and mobile entertainment business. Building scalable capabilities and a high-performing global organization.

Posted 8/13/2026full-timeLas Vegas • Nevada • 🇺🇸 United StatesLead💰 $189,000 - $351,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and implementing enterprise Data Science strategies, governance frameworks, and model lifecycle management. Proven ability to lead high-performing teams and drive the adoption of advanced analytics and machine learning solutions across organizations.

Highest-signal resume keywords

Data Science Strategy DevelopmentMachine Learning ImplementationAdvanced Analytics SolutionsOrganizational LeadershipStatistical Modeling Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningAIStatistical ModelingAdvanced AnalyticsModel Lifecycle ManagementGovernance FrameworksOptimizationDecision ScienceExperimentation

Soft Skills

Executive CommunicationPartner InfluenceOrganizational Leadership

Certifications & Qualifications

Master's DegreePhD in Quantitative Field

Industry Keywords

GamingDigital ProductMediaEntertainment

About the role

Key responsibilities & impact

Define and implement the enterprise Data Science strategy, roadmap, and operating model
Serve as executive advisor on Data Science strategy, investments, risks, and emerging opportunities
Partner with executive leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities
Evaluate emerging Data Science, AI, and machine learning technologies and establish adoption roadmaps
Lead, develop, and grow a high-performing organization across multiple leadership levels
Establish enterprise standards, governance, and operating principles for machine learning, statistical modeling, experimentation, optimization, decision science, and responsible AI
Define enterprise strategy and architecture for model lifecycle management
Collaborate with Architecture, Data Governance, Platform Engineering, and Analytics teams
Drive enterprise adoption of advanced analytics and machine learning solutions
Establish frameworks to measure adoption, business impact, and value realization
Shape an organization focused on technical excellence, innovation, accountability, and continuous learning

Requirements

What you’ll need

15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines
Deep familiarity with gaming, digital product, media, or entertainment businesses preferred
Experience leading enterprise Data Science organizations through Directors, Managers, and senior technical leaders
Proven success building and scaling Data Science capabilities for production machine learning, AI, and advanced analytics solutions
Experience defining enterprise Data Science operating models, governance frameworks, and model lifecycle practices
Experience evaluating emerging Data Science, AI, and machine learning technologies and converting innovation opportunities into practical business capabilities
Outstanding executive communication, partner influence, and organizational leadership skills
Master's degree or PhD in a quantitative field preferred; equivalent experience will also be considered
Must be authorized to work in the job posting location full-time without current or future visa sponsorship

Benefits

Comp & perks

Robust benefits package
Health, dental, and vision insurance
Paid time off
401(k) plan with employer matching
Global career opportunities
Employee development and career pathways
Comprehensive benefits package
Up to 25% travel expectations