Data Operations Manager
Cerebro Sports is hiring a Data Operations Manager to oversee the day-to-day execution of our data team, ensuring smooth ingestion, automation, and prioritization of events. This role is critical to maintaining the integrity of the world’s largest basketball database while optimizing data processes to scale our analytics and AI-driven tools. The ideal candidate will have strong organizational skills, technical acumen, and the ability to track deliverables across multiple data pipelines.
Key Responsabilities
- Manage and track the daily operations of the data team, ensuring efficient execution of deliverables.
- Oversee data ingestion workflows, including scraping, automation, and structured data entry.
- Prioritize events and data sources based on business needs, ensuring high-impact data is processed first.
- Collaborate with engineers to optimize data pipelines and improve efficiency in data processing.
- Maintain quality control across all data workflows, ensuring accuracy, completeness, and consistency.
- Identify and implement process improvements to streamline automation and reduce manual efforts.
- Act as the primary liaison between data engineers, analysts, and leadership to ensure alignment on priorities.
- Develop and enforce best practices for data governance, security, and compliance.
- Monitor system performance and troubleshoot data issues proactively.
Qualifications & Skills:
- Multiple years of experience in data operations, data engineering, or technical management.
- Strong understanding of SQL, Python, and ETL processes.
- Experience managing and tracking data pipelines, automation workflows, and ingestion processes.
- Excellent project management skills with the ability to track and prioritize multiple deliverables.
- Strong problem-solving abilities with a proactive approach to optimizing data workflows.
- Experience working with basketball data and analytics is a must.
