Data Product Manager, Curation

Rush Street Interactive is a market leader in online casino and sports betting, currently operating real-money gaming with their brands. The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting and analytics while collaborating with various teams to improve data consistency and usability.

Responsibilities:

• Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases
• Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions
• Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets
• Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data
• Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization
• Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible
• Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring
• Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions

Requirements:

• Bachelor's degree in Information Systems, Data Science, Computer Science, or a related field, preferred, or equivalent experience
• 5+ years in data product, analytics infrastructure, or data modeling roles
• 5+ years partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products
• Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making
• 3–5 years designing dimensional models, schemas, and semantic layers for analytics or reporting use cases
• General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development
• Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets
• Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy
• Able to travel occasionally both domestically and internationally