Overview
As VP Data, Analytics & Economy, you will shape Aristocrat’s data strategy and drive decision intelligence to boost player engagement, retention, and monetization. You will lead a cross-functional team, establish governance and scalable data platforms, and oversee experimentation and analytics to deliver measurable business impact. You’ll partner with Product and Live Operations to balance short-term performance with long-term player trust. This role offers a chance to define and scale data-driven capabilities at a global gaming leader.
Pay / Benefits
- pay and benefits package
- annual bonuses and incentives
- health and wellbeing benefits
- retirement plans
- paid time off
- equity program
Responsibilities
- Define and implement the Product Madness data strategy and governance
- Build scalable data platforms and products with trusted data, quality standards, and consistent metrics
- Lead BI, analytics, research, and data science to deliver actionable insights
- Drive experimentation standards, governance, testing, and rapid learning to inform decisions
- Oversee monetization strategy, segmentation, pricing, and offer optimization across portfolios
- Collaborate with Product and Live Operations to increase lifetime value and balance revenue with player experience
- Lead forecasting, machine learning, and advanced analytics projects to boost outcomes
- Promote data-informed decision-making across the organization
Key requirements
- Significant senior leadership experience in data, analytics, data science, or game economy fields within gaming, digital products, or consumer technology
- Proven track record building trusted data capabilities and translating insights into commercial and player outcomes
- Deep understanding of experimentation, segmentation, monetization, predictive analytics, and metric governance
- Experience leading distributed teams across technical and commercial functions
- Strong product judgment balancing revenue optimization with sustainable player experience
- strategic thinking
- cross-functional leadership
- communication and stakeholder management
- data strategy
- governance and data quality
- business intelligence
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