Data Product Manager

Aristocrat Gaming•Boston, MA

20h•$110,049 - $204,376•Hybrid

About The Position

Join Aristocrat to deliver top-tier entertainment using modern technology and outstanding content. As a Data Product Manager in our Core Product team, you will craft our data strategy and develop groundbreaking solutions for analytics. Seeking a passionate, ambitious individual adept at crafting data-driven products. You will coordinate developing data products spanning our central data lake, modern reporting, analytical tools, and automation. Join our team dedicated to delivering insightful analytics and digitalization for efficient processes across the group and our customers. This role is remote to start, but will transition to a hybrid schedule once our office location is established. (For Boston office ONLY) What You'll Do 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.

Requirements

Managed data products with 1+ year of experience, specializing in data & analytics solutions (Data Lake/DWH/Cloud Service).
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.

Nice To Haves

Experience in a similar role within the iGaming industry, with Sportsbook Data and BI experience being highly beneficial.

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.