Chief Data Architect

The Enterprise Data Architect is a critical position responsible for designing and implementing data warehouses, data marts, and data stores to ensure high levels of data availability for the data analytics team and other business units.

• Achieving long-term strategic goals for data warehousing in collaboration with the enterprise data analytics team, data users, department managers, clients, and other key stakeholders.
• Developing database architectures, coding standards, and quality assurance policies and procedures in collaboration with technical staff.
• Designing and implementing redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.
• Conducting research and making recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts.
• Overseeing data collection and master data and database(s).
• Creating and delivering reports according to user requirements.
• Managing data warehouse improvement and growth projects.
• Identifying inefficiencies and gaps in current data extraction and reports and leveraging solutions to ensure data standards.
• Identifying data discrepancies and data quality issues, and working to ensure data consistency and integrity.

• Bachelor's degree in computer science, engineering, or comparable course of study.
• Preferred certifications: Certified Data Management Professional (CDMP), The Open Group Architecture Framework (TOGAF), Microsoft Certified - Azure Data Engineer Associate or Azure Solution Architect Expert.
• Managerial technical experience with designing, building, installing, configuring, and supporting enterprise data warehouses.
• Experience with database platforms.
• Strong knowledge of P&C insurance data, insurance carrier workflows, data analytics fundamentals, and technology.
• Strong knowledge of data governance and compliance.
• Strong understanding of relational database structures, theories, principles, and practices.
• Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
• In-depth technical knowledge of network, PC, and platform operating systems.
• Proven project management experience.
• Good knowledge of applicable data privacy practices and laws.
• Strong written and oral communications skills.
• Exceptional analytical, conceptual, and problem-solving abilities.

Salary Estimate: $140,000 - $170,000 per year

Mutual Benefit Group offers a comprehensive benefits package, including health, dental reimbursement, vision, 401(k) and Roth 401(k), and PTO.

Mutual Benefit Group values its employees and provides a positive work environment that encourages collaboration and growth.