AAIS (American Association of Insurance Services)

Data Engineer

• Build and maintain the MDM platform, including entity resolution, match/merge rules, survivorship logic, and golden record management.
• Develop and enforce data models that support party, policy, and reference data domains across the enterprise.
• Architect MDM hub configurations (registry, consolidation, or co-existence models) appropriate to AAIS’s operational context.
• Build and maintain MDM integration layers connecting source systems, the data lake/warehouse, and downstream consumers.
• Define and implement data governance policies, standards, and workflows in collaboration with Data Stewards and the Director of Data Solutions.
• Develop data quality rules, profiling routines, and exception-handling workflows to ensure master data integrity across all jurisdictions.
• Maintain business glossaries, data dictionaries, and lineage documentation for all master data domains.
• Partner with business stakeholders to define data ownership, stewardship responsibilities, and escalation paths for data quality issues.
• Analyze and profile source data to assess quality, completeness, atomicity, and referential integrity prior to MDM onboarding.
• Implement automated data quality monitoring and alerting to proactively surface master data anomalies and support data quality KPI tracking.
• Establish and track data quality KPIs and SLAs for key master data domains.
• Design and develop data integration pipelines that feed the MDM platform from disparate source systems in batch and near-real-time.
• Build and maintain ETL/ELT workflows using cloud-native tooling (AWS Glue, Step Functions) and integration platforms.
• Ensure referential integrity and consistent application of master data identifiers across the data ecosystem.
• Support the broader Data Lake/Warehouse environment, contributing to data modeling, analytics engineering, and BI delivery as needed.
• Collaborate with the Data Engineering team to ensure MDM outputs are properly integrated into reporting, analytics, and statistical data collection workflows.
• Contribute to Agile sprint planning, technical documentation, and peer code review processes.

Master Data Management Data Engineer

Executive

• Develop and manage relationships with current and prospective member organizations, serving as a primary point of contact for assigned accounts.
• Drive membership growth through new member acquisition and cross-sell opportunities via expanded utilization of AAIS products and services.
• Maintain an active pipeline of prospective member opportunities and strategic growth initiatives.
• Conduct regular outreach with member executives and key stakeholders to understand business priorities, challenges, and future needs.
• Collaborate with Product, Member Success, Marketing, and Strategic Partnerships teams to ensure members receive maximum value from their relationship with AAIS.
• Identify opportunities to strengthen member engagement, improve retention, and expand strategic relationships.
• Represent AAIS at industry conferences, member meetings, and relevant industry events.

Master Data Management Data Engineer

Member Engagement Executive