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.

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
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
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.

Data Product Manager

Key skills