Revenue Ops Leader: Forecasting, Analytics & Growth

Tyler Technologies, Inc.; Maine; On-site; USD 150,000 - 250,000; Full time

Job summary

Tyler Technologies, Inc. is seeking a Head of Sales Operations / Revenue Operations to lead processes, analytics, forecasting, and sales effectiveness initiatives in support of growth.

You will partner with EVP, Sales and leadership to drive revenue predictability, operational excellence, and organizational alignment across the sales function. The ideal candidate combines business acumen with leadership and operational expertise, transforming data into insights, improving forecast accuracy, and

Qualifications

• 7+ years in Sales Operations or Revenue Operations leadership.
• Strong forecasting, pipeline management, and analytics track record.
• Experience building executive dashboards and reports.
• Proven ability to influence senior leaders and drive change.
• MBA or advanced business degree preferred.

Responsibilities

• Lead sales operations with scalable processes and performance frameworks.
• Partner with sales leadership to assess risks & opportunities affecting revenue.
• Develop action plans from market trends and pipeline metrics.
• Build discipline and accountability across the sales org.
• Own forecasting processes and deliver accurate revenue projections.
• Create executive dashboards and data-driven insights.
• Collaborate with Finance, Marketing, Product for aligned plans.

Skills

Sales Ops

Forecasting

Analytics

Leadership

Stakeholder Mgmt

Education

MBA

Tools

CRM

BI Tools

Data Dashboards

Job description

Tyler Technologies, Inc. is seeking a Head of Sales Operations / Revenue Operations to lead processes, analytics, forecasting, and sales effectiveness initiatives in support of growth.

You will partner with EVP, Sales and leadership to drive revenue predictability, operational excellence, and organizational alignment across the sales function. The ideal candidate combines business acumen with leadership and operational expertise, transforming data into insights, improving forecast accuracy, and