Data Product Manager
Aristocrat is a leader in online Real Money Gaming solutions, and they are seeking a Data Product Manager to craft their data strategy and develop innovative analytics solutions. The role involves leading the data product lifecycle, collaborating with data engineers, and ensuring effective communication with clients to translate business needs into actionable product requirements.
Responsibilities
- Be a data expert with a deep understanding of data producers, ELT/ETL processes, data consumers, data quality, data architecture, analytics, machine learning, and cloud services
- Lead the entire data product lifecycle, including product roadmap development, frequent communication with clients, and translating business needs into PRDs, Features, and User Stories
- Collaborate with data engineers and QA teams to finalize the delivery and launch of innovative products
- Collaborate closely with the rest of the product organization on new initiatives to facilitate early requirement gathering
- Contribute to the overall data architecture by investigating data assets, technical platforms, integrations, and processes across functions
- Be a hands-on product manager, deeply involved in the day-to-day operations of the data engineering team
- Coordinate implementation and release workflows to ensure strict adherence to deadlines
- Run the Agile framework, including daily stand-ups, sprint planning, and retrospectives
- Work with Marketing to provide Data & BI platform awareness and guides both internally and externally
Skills
- Managed data products with 1+ year of experience, specializing in data & analytics solutions (Data Lake/DWH/Cloud Service)
- Experience in a similar role within the iGaming industry, with Sportsbook Data and BI experience being highly beneficial
- BA/B.Sc. in Industrial Engineering, Economics, Information Systems, Computer Science/Engineering, Information Technology, or another quantitative field
- Understanding of how product use cases affect data modeling, data infrastructure, and data analytics
- Working experience with Snowflake and Azure SQL Data Warehouse
- Demonstrating proven experience in leading the development of data products by using ELT and Data Streams
- Outstanding communication skills in English and strong problem-solving abilities
- Ability to multitask and meet deadlines in a fast-paced environment
- Demonstrated track record of delivering significant Business Intelligence through reports, dashboards, and visualizations using platforms such as Power BI, Tableau, Looker, Qlik Sense, or Sisense
- Experience with product management tools, including Jira, Trello, TFS/Azure DevOps Server, and Monday.com
Benefits
- Health, dental, and vision insurance
- Paid time off
- 401(k) plan with employer matching
Company Overview