In this role, you will lead data product initiatives to transform business needs into scalable data solutions for Aristocrat’s iLottery division. You will partner with lottery customers and cross-functional teams to shape data-driven products, governance, and observability that enable informed decisions at scale. You’ll own the product lifecycle from discovery to delivery, ensuring quality, alignment, and measurable impact. This is a chance to influence the future of regulated online gaming through data excellence and collaboration.
Pay / Benefits
comprehensive pay and benefits package
annual bonuses and incentives
health and wellbeing benefits
paid time off
retirement plans
insurance coverage
Responsibilities
Partner with lottery customers and internal teams to understand objectives, processes, decisions, and challenges
Translate business needs into scalable data solutions by evaluating data sources, definitions, quality, constraints, and platform capabilities
Own initiatives across the full product lifecycle from opportunity assessment to adoption and continuous improvement
Define reusable data products including datasets, semantic models, dashboards, APIs, data feeds, monitoring, and self-service features
Collaborate with engineering and governance to establish data contracts, quality rules, lineage, metadata, ownership, access controls, retention, and monitoring
Maintain and prioritize backlog based on customer value, business impact, risk, dependencies, effort, and capacity
Coordinate delivery across Data Engineering, BI, QA, Architecture, and platform teams with clear scope, decisions, risks, and timelines
Serve as key product contact for data and reporting needs, aligning customers, collaborators, and delivery teams
Work with support and engineering to define observability, incident priorities, root-cause follow-up, and preventive improvements for production data products
Key requirements
2+ years as a Product Manager/Owner of a data product managing data & analytics solutions (Data Lake/DWH/Cloud Service)
Experience in iGaming or iLottery is highly beneficial
Proficiency in data modeling, infrastructure, and analytics
Experience with data pipelines, ELT workflows, and cloud data architectures
Experience with Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow or similar
SQL understanding and data model literacy
Knowledge of data governance, privacy, security, regulatory reporting, and responsible data use cases
Excellent communication and problem-solving skills
Ability to multi-task and meet deadlines in a fast-paced environment
Experience with BI tools such as Power BI, Tableau, Looker, Qlik or similar
Proficiency with PM tools like Jira, Trello, TFS/Azure DevOps Server, Monday.com
BA/B.Sc. in Industrial Engineering, Economics, Information Systems, Computer Science/Engineering, Information Technology, or another quantitative field
Familiarity with AI-enabled analytics, data products, or ML concepts is a plus
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