Lead Data Product Management

What you'll do

• Support daily data requests from internal and client-facing teams, including reporting needs, data availability questions, and pipeline triage
• Validate that data is loaded, updated, and behaving as expected across platforms
• Develop a deep understanding of data flows through systems, pipelines, and downstream products
• Partner with Product Managers and technical teams to investigate data discrepancies or gaps
• Serve as a trusted point of contact for data-related questions
• Create and maintain clear, practical documentation on datasets, attributes, permitted use cases, and known limitations
• Support training efforts for internal teams by contributing to enablement materials and walkthroughs
• Work closely with Data Engineering, Data Warehouse, Audience, and Account teams to ensure data products meet business and client needs
• Translate business questions into data-oriented investigations and insights
• Escalate risks, inconsistencies, or recurring issues with clear context and proposed solutions
• Identify patterns in recurring data issues or requests and propose operational, documentation, or process improvements
• Support internal teams with analysis, validation, and subject-matter expertise on data usage and limitations
• Develop operational monitoring to quantify data gaps and areas for improvement
• Help onboard and mentor more junior analysts
• Contribute to improving how data products are launched, documented, and supported at scale

Requirements

• 4+ years of experience working with data in a professional environment, including analytics, data operations, data products, or similar roles
• 2+ years of hands-on experience working with backend data systems, such as data warehouses, data pipelines, or large relational datasets
• 2+ years of experience designing and maintaining automated operational, monitoring, or data quality solutions
• Experience working with complex datasets across multiple sources and understanding how upstream changes impact downstream usage
• Familiarity with DevOps concepts (e.g., CI/CD, infrastructure-aware development, monitoring) in the context of data systems is a plus
• Familiarity with data governance, data privacy concepts, or working with sensitive data (PII and/or pseudonymized data) is a plus
• Bachelor’s degree or equivalent practical experience

Tech stack

Benefits