Senior Power BI Lead - Enterprise Analytics

Arrowhead Programs

Atlanta (GA)

Hybrid

USD 170,000 - 180,000

Full time

41 hours ago
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Benefits offered by this job

Health Benefits
401k
Tuition Reimbursement
Paid Time Off
Mental Health Services

Job summary

Brown & Brown is seeking a Senior Power BI Lead to establish and scale a centralized Power BI function within the AHI Data Strategy & BI team. The role will service three divisions and set enterprise standards for governance, security, and semantic modeling.

Ideal candidates have 10+ years in BI analytics, 5+ years in Power BI leadership, and strong SQL/data modeling skills. This hybrid role is based in the U.S. with multiple city options and a focus on cross-division data collaboration.

Qualifications

  • 10+ years in BI analytics with 5+ years in Power BI leadership.
  • Insurance industry experience preferred.
  • Experience building or maturing BI teams and governance.
  • Expert Power BI skills: semantic modeling, DAX, performance tuning.
  • Strong data modeling, SQL, and data warehouse knowledge.
  • Excellent communication with executives and stakeholders.

Responsibilities

  • Create and scale a centralized Power BI function.
  • Set enterprise standards for reporting, governance, and security.
  • Lead cross-division data projects and security models.
  • Manage data quality, datasets, and release pipelines.

Skills

Power BI
SQL
Data modeling
DAX
Governance
Leadership
BI architecture

Education

Bachelor's degree in CS/IS/Analytics or related field

Tools

Azure
Databricks
Microsoft Fabric
Tableau

Job description

Brown & Brown is seeking a Senior Power BI Lead to establish and scale a centralized Power BI function within the AHI Data Strategy & BI team. The role will service three divisions and set enterprise standards for governance, security, and semantic modeling.

Ideal candidates have 10+ years in BI analytics, 5+ years in Power BI leadership, and strong SQL/data modeling skills. This hybrid role is based in the U.S. with multiple city options and a focus on cross-division data collaboration.

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