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About the Role
Lead a world-class data and analytics team in the gaming industry to direct data strategy, decision intelligence, and game economy performance. Ensure key business decisions rely on trusted insights, advanced analytics, and rigorous experimentation to boost player engagement, retention, and monetization.
Responsibilities
- Define and complete the Product Madness data strategy.
- Build trusted, scalable, and accessible data platforms and products.
- Establish governance, data quality standards, and consistent business metrics.
- Build decision frameworks that enable leaders to act with confidence and pace.
- Lead business intelligence, analytics, research, and data science capabilities.
- Deliver actionable insight across products, portfolio performance, and player behavior.
- Inform investment decisions, portfolio prioritization, and growth choices.
- Drive adoption of data-informed decision-making throughout the organization.
- Own experimentation standards, governance, and testing frameworks.
- Increase test velocity, quality of learning, and application of insight.
- Ensure material decisions are supported by robust evidence and measurable outcomes.
- Develop predictive methods that support acquisition, engagement, retention, and commercial performance.
- Establish portfolio-wide standards for healthy, balanced game economies.
- Lead monetization optimization, offer strategy, segmentation, and pricing approaches.
- Work closely with Product and Live Operations leaders to increase player lifetime value.
- Balance short-term commercial performance with player trust and long-term engagement.
- Lead forecasting, machine learning, and advanced analytics projects.
- Use data science to boost player and commercial outcomes.
- Identify and scale competitive advantage through responsible use of data and AI.
Requirements
- Significant senior leadership experience across data, analytics, data science, or game economy fields in gaming, digital products, or consumer technology.
- Proven track record of building trusted data capabilities and turning insight into commercial and player outcomes.
- Deep understanding of experimentation, segmentation, monetization, predictive analytics, and metric governance.
- Experience leading distributed teams across technical and commercial fields.
- Strong product judgment and the ability to balance revenue optimization with sustainable player experience.
Skills
- Data strategy
- Decision intelligence
- Game economy performance
- Advanced analytics
- Rigorous experimentation
- Business intelligence
- Data science
- Predictive methods
- Monetization optimization
- Segmentation
- Pricing approaches
- Forecasting
- Machine learning
Experience Level
- Senior leadership experience
Benefits
- Annual bonuses
- Incentives
- Health and wellbeing benefits
- Paid time off
- Retirement plans
- Insurance coverage
- Other local or statutory benefits
- Annual equity program
About the Company
- Aristocrat is a company in the gaming industry.