VP Data, Analytics & Economy

Are you ready to lead a world-class data and analytics team in the gaming industry? At Aristocrat, we are looking for an experienced VP Data, Analytics & Economy to direct our data strategy, decision intelligence, and game economy performance. This pivotal role guarantees that our key business decisions rely on trusted insights, advanced analytics, and rigorous experimentation. Join us and play a crucial part in boosting player engagement, retention, and monetization across our portfolio. This is your chance to define a significant impact in a dynamic and ambitious environment!

What You'll Do

Data strategy and intelligence

• 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.

Analytics and insights

• 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.

Experimentation and optimization

• 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.

Economy and monetization management

• 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.

Artificial intelligence and sophisticated data analysis

• 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.

What We're Looking For

• 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.

This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.

Compensation Philosophy
We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

You may also be eligible for inclusion in our annual equity program, providing the opportunity to share directly in Aristocrat's long-term growth and success through equity ownership.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.