Product Data Manager

Mainz Brady Group is recruiting for a healthcare organization seeking a Data Product Manager to support enterprise data products across Marketing, Digital, and Member Experience. The role involves hands-on SQL analysis, investigating data flows and quality issues, defining technical requirements and mappings, and developing reusable data products with Engineering, Architecture, and business teams.

Responsibilities:

• Perform hands-on SQL analysis, data profiling, reconciliation, and root-cause investigation across enterprise data systems
• Trace complex data flows from source systems through ingestion, transformation, and downstream consumption
• Define source-to-target mappings, business rules, technical requirements, and acceptance criteria
• Design and enhance reusable enterprise data products that support multiple business applications and consumers
• Investigate data quality issues, transformation discrepancies, and upstream/downstream impacts
• Support data migrations, system integrations, and platform modernization initiatives
• Create detailed technical documentation, including data lineage, field definitions, mappings, and validation plans
• Collaborate with Product, Engineering, Architecture, QA, and business stakeholders
• Support data products used for marketing, digital engagement, member communications, and analytics
• Contribute to evolving data architecture, including semantic layers and AI-ready data products

Requirements:

• Advanced SQL skills, including complex queries, data profiling, reconciliation, and troubleshooting
• Strong experience with technical data discovery, requirements gathering, and source-to-target mapping
• Experience designing or supporting enterprise data products that are scalable, flexible, and reusable
• Ability to investigate complex datasets, identify business rules, and understand data relationships
• Strong experience with data validation, testing, and quality assurance
• Ability to produce detailed technical documentation, including data mappings, data lineage, and functional specifications
• Experience collaborating with Engineering, Architecture, Product, and business teams
• Strong analytical skills, attention to detail, and ability to independently navigate ambiguous technical problems
• A degree is not required
• Demonstrated technical expertise, strong SQL skills, and the ability to solve complex enterprise data problems are the priorities
• Experience with Snowflake or comparable enterprise cloud data platforms
• Healthcare payer data experience, including membership, eligibility, claims, provider, or member demographic data
• Experience with marketing, digital, member experience, or customer engagement data
• Background in data migrations, source-system integrations, or enterprise modernization
• Familiarity with event-driven architectures, APIs, Kafka, and JSON data
• Exposure to semantic layers, Snowflake Cortex, AI-assisted data analysis, or AI-ready data products
• Working knowledge of Python for data analysis or automation
• Experience with Jira, Confluence, SharePoint, or similar documentation tools