Director, Business Systems & Analytics (SaaS)

TL;DR

Director, Business Systems & Analytics (SaaS): Managing enterprise data and systems landscape to integrate financial planning, revenue operations, and business intelligence with an accent on scalable architecture and automated reporting. Focus on building governed data standards, leading technical migrations, and providing high-fidelity forecasting for executive leadership.

Location: Remote (US-based)

Company

hirify.global is an AI-native operating system for field sales and roofing contractors, providing an end-to-end production-to-payment platform.

What you will do

• Serve as the functional architect of the G&A and GTM tech stack, leading software migrations and system integrations.
• Establish company-wide data standards and maintain a unified metric dictionary for ARR, Net Retention, and CAC.
• Direct and mentor the Revenue Operations and Data Analytics teams.
• Transition the organization from manual modeling to automated rolling forecasts and predictive analytics.
• Coordinate SalesOps workflows with financial reporting to ensure CRM data supports high-fidelity forecasting.
• Partner with the CFO to provide reporting and insights for Private Equity partners.

Requirements

• 8+ years of experience in Business Systems, Revenue Operations, or Data Engineering in a high-growth SaaS environment.
• Hands-on proficiency in HubSpot, NetSuite, and enterprise BI platforms like Looker or Sigma.
• Strong understanding of data warehousing, relational databases, and SaaS financial modeling.
• Experience leading technical teams and scaling infrastructure in a PE-backed environment.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related quantitative field.
• Must be authorized to work in the United States.

Culture & Benefits

• Comprehensive medical, vision, and dental insurance.
• 401(k) plan with 100% matching up to 4% of salary.
• 20 days of PTO plus 10 paid holidays.
• Company phone plan covering service for employee and family.
• Collaborative, high-accountability environment focused on impact and data-driven decision-making.