Strategic Revenue Intelligence & AI Lead

Bottomline; Portsmouth; On-site; GBP 120,000 - 180,000; Full time

Job summary

Bottomline is seeking a Director, Customer Intelligence & AI to lead data-driven customer insights, predictive analytics, and intelligent automation across Revenue Management. You will build a unified Customer Intelligence Platform and partner with Sales, Product, Finance and Customer Success to unlock growth and retention opportunities.

The role requires 8+ years in data science, analytics, or AI in SaaS/tech, with strong SQL/Python skills, executive communication, and cross-functional

Qualifications

• Bachelor-level degree in a quantitative field and significant experience in data science and analytics.
• Strong ability to translate data into strategic business recommendations.
• Excellent communication and executive presentation skills.

Responsibilities

• Design, build, and maintain a centralized Customer Intelligence Platform.
• Develop a 360-degree view of customers including health, value, adoption and retention.
• Create predictive models to identify revenue opportunities and churn risks.
• Partner with executive leaders to translate insights into growth programs.
• Lead AI strategy, governance, and measurable outcomes across functions.
• Deliver executive dashboards and actionable intelligence for planning.

Skills

Data Science

Customer Analytics

Business Intelligence

Revenue Analytics

Machine Learning

AI

SQL

Python

Communication

Executive Presentation

Influencing cross-functional leaders

Education

Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field

Master's degree (preferred)

Tools

SQL

Python

Job description

Bottomline is seeking a Director, Customer Intelligence & AI to lead data-driven customer insights, predictive analytics, and intelligent automation across Revenue Management. You will build a unified Customer Intelligence Platform and partner with Sales, Product, Finance and Customer Success to unlock growth and retention opportunities.

The role requires 8+ years in data science, analytics, or AI in SaaS/tech, with strong SQL/Python skills, executive communication, and cross-functional