Head of Enterprise Analytics & AI Insights (Remote)

Darktrace

Charlotte (NC)

Hybrid

USD 180,000 - 260,000

Full time

44 hours ago
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Benefits offered by this job

23 days’ holiday + public holidays
Private medical insurance for family
Life insurance 4x base salary
Salary sacrifice pension
Enhanced family leave

Job summary

Darktrace is seeking a Vice President of Enterprise Analytics to build and lead the analytics function across the organization. You will own metrics like ARR, bookings, pipeline, and product usage, and deliver executive-level insights to drive strategic decisions.

Reporting to senior leadership, you will manage a team including Data Analysts, BI Analysts, and Analytics Engineers, while partnering with Finance, Product, Sales, and Engineering to align reporting and performance measures.

Qualifications

  • Experience leading enterprise analytics or BI at director/VP level.
  • Proven governance of enterprise metrics in SaaS or subscription models.
  • Strong SaaS metrics knowledge: ARR, ACV, Bookings, ATR, NRR.

Responsibilities

  • Define and govern key business metrics, ensure accuracy and governance.
  • Lead analytics team across Data Analysts, BI Analysts, and Engineers.
  • Partner with executives to deliver data-driven insights and recommendations.
  • Create self-service analytics and enterprise data products.
  • Promote AI-powered analytics tools and workflow automation.

Skills

Leadership
SaaS metrics
SQL
Data modeling
Power BI/Tableau/Looker
Stakeholder management
Cloud data platforms
Agile / SDLC

Education

Bachelor's degree in Statistics / Economics / CS / Eng / Math

Tools

Snowflake
Databricks
Microsoft Fabric

Job description

Darktrace is seeking a Vice President of Enterprise Analytics to build and lead the analytics function across the organization. You will own metrics like ARR, bookings, pipeline, and product usage, and deliver executive-level insights to drive strategic decisions.

Reporting to senior leadership, you will manage a team including Data Analysts, BI Analysts, and Analytics Engineers, while partnering with Finance, Product, Sales, and Engineering to align reporting and performance measures.

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