Head Of Revenue Analytics

Apexgroup Inc

Global commercial analytics capability
Revenue data models and metrics
Salesforce and enterprise data platform ownership
The Head of Revenue Analytics is responsible for building, owning, and governing Apex Group’s global commercial analytics capability, ensuring trusted, actionable, and forward-looking insights drive revenue predictability and growth

Job Summary

  • The Head of Revenue Analytics is responsible for building, owning, and governing Apex Group’s global commercial analytics capability, ensuring trusted, actionable, and forward-looking insights drive revenue predictability and growth.
  • This role owns the revenue analytics layer across Salesforce and the enterprise data platform, while working in close partnership with Apex’s Global Analytics function and AI teams to integrate broader data sources, advanced analytics, and predictive insights into the commercial operating model.
  • Build and lead a high-performing Revenue Analytics team, setting standards for analytical rigor, documentation, and technical excellence, developing talent capable of operating confidently across data, AI, and commercial stakeholders.

Matching Summary

The Head of Revenue Analytics is responsible for building, owning, and governing Apex Group’s global commercial analytics capability, ensuring trusted, actionable, and forward-looking insights drive revenue predictability and growth.

Skills & Requirements

Must-have

  • Global commercial analytics capability
  • Revenue data models and metrics
  • Salesforce and enterprise data platform ownership
  • Predictive and prescriptive analytics development
  • Data governance and quality ownership

Nice-to-have

  • Operationalize AI/predictive insights
  • Third-party data integration
  • Long-cycle B2B sales experience

Key Requirements

  • 10-15+ years in analytics, data, or revenue intelligence
  • Experience leading analytics in financial services, fund administration, fintech, or regulated B2B environments
  • Strong hands-on background in data modeling, SQL, analytics engineering, and BI
  • Proven experience working with enterprise analytics and AI/data science teams
  • Demonstrated success translating complex analytics into commercial action

Work Rights

Not specified

Tailored Resume

Cover Letter