JOB FUNCTIONS:

The Business Intelligence (BI) Manager is responsible for leading MPW’s Business Intelligence team, overseeing the design, development, and maintenance of BI solutions. This role ensures the delivery of accurate, actionable insights to support organizational goals. The BI Manager will manage a team of BI Developers while working directly with stakeholders to prioritize and deliver BI requests, resolve issues, and maintain MPW’s BI infrastructure.

 

ESSENTIAL FUNCTIONS:

Team Leadership

Manage and mentor a team of three BI Developers, providing guidance, training, and career development. Assign, prioritize, and oversee BI development tasks, including new requests, enhancements, and bug fixes. Conduct performance reviews, one-on-one meetings, and team status updates.

BI Development

Lead the design, implementation, and maintenance of BI solutions using Microsoft SQL Server, Reporting Services (SSRS), Power BI, SSIS, and Microsoft Fabric. Ensure accurate and timely delivery of dashboards, reports, and data visualizations to meet business requirements. Oversee the development and optimization of SQL databases, ensuring high performance and data integrity. 

System Maintenance

Perform SQL Server maintenance tasks, including backups, indexing, query optimization, and patch management. Monitor the performance and reliability of BI systems, proactively identifying and addressing potential issues.

Stakeholder Collaboration

Work closely with stakeholders to gather requirements and translate them into actionable BI solutions. Provide training and support to internal users for self-service BI tools, including Power BI. Communicate complex technical concepts to non-technical audiences effectively. 

Strategy and Governance

Develop and enforce data governance best practices to ensure data quality, security, and consistency. Establish and execute a BI roadmap aligned with organizational goals and emerging technologies. 

Documentation and Process Improvement

Maintain documentation for BI systems, processes, and solutions. Identify opportunities for process improvements, including automation and advanced analytics adoption.