Data product manager

What You'll Do

What We're Looking For

Compensation Philosophy

Qualifications

• Over 2 years of experience as a Product Manager/Owner of a data product, managing data & analytics solutions (Data Lake/DWH/ Cloud Service).
• Experience in the iGaming or iLottery industry is highly beneficial.
• Proficiency in data modeling, infrastructure, and analytics.
• Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures.
• Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools.
• Ability to understand and work with SQL queries and data models.
• Knowledge of data governance, privacy, security, regulatory reporting, and responsible data use cases.
• Excellent communication and strong problem-solving skills.
• Ability to multi-task and meet deadlines in a fast-paced environment.
• Experience with BI reporting and analytics solutions using Power BI, Tableau, Looker, Qlik or similar platforms.
• Agile Product Management experience: Features/User Stories, Acceptance Criteria and Agile Delivery.
• Proficiency with product management tools such as 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 machine learning concepts is an advantage.
• 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.
• Specific details about compensation and benefits for this position will be discussed during the recruitment process.

Responsibilities

• Partner with lottery customers and internal collaborators to deeply understand their business objectives, processes, decisions, and difficulties.
• Translate business needs into scalable, trusted, and actionable data solutions by assessing relevant sources, definitions, quality, constraints, and platform capabilities.
• Own initiatives throughout the entire product lifecycle, from opportunity assessment through development, delivery, launch, adoption, measurement, and continuous improvement.
• Define reusable data products, including governed datasets, semantic models, dashboards, APIs, data feeds, monitoring and alerting capabilities, and self-service features.
• Collaborate with engineering and governance teams to establish data contracts, quality rules, lineage, metadata, ownership, access controls, retention, and monitoring.
• Maintain and prioritize the backlog using customer value, business impact, risk, dependencies, effort, and capacity.
• Coordinate delivery across Data Engineering, BI, QA, Architecture, and platform teams, ensuring clear communication of scope, decisions, risks, and timelines.
• Serve as a key product contact for data and reporting needs, facilitating alignment across customers, collaborators, and delivery teams.
• Work with support and engineering teams to define observability, incident priorities, root-cause follow-up, and preventive improvements for production data products.
• Over 2 years of experience as a Product Manager/Owner of a data product, managing data & analytics solutions (Data Lake/DWH/ Cloud Service).
• Experience in the iGaming or iLottery industry is highly beneficial.
• Proficiency in data modeling, infrastructure, and analytics.
• Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures.
• Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools.
• Ability to understand and work with SQL queries and data models.
• Knowledge of data governance, privacy, security, regulatory reporting, and responsible data use cases.
• Excellent communication and strong problem-solving skills.
• Ability to multi-task and meet deadlines in a fast-paced environment.
• Experience with BI reporting and analytics solutions using Power BI, Tableau, Looker, Qlik or similar platforms.
• Agile Product Management experience: Features/User Stories, Acceptance Criteria and Agile Delivery.
• Proficiency with product management tools such as 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 machine learning concepts is an advantage.
• 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.