Customer 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

Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!

The Role:

The Director, Customer Intelligence & AI is responsible for building and leading the company's customer intelligence and artificial intelligence capabilities, creating a strategic advantage through data-driven insights, predictive analytics, and intelligent automation.

This role serves as the intelligence engine of the Revenue Management organization by transforming customer, product, commercial, operational, support, and financial data into actionable insights that drive revenue growth, improve customer retention, and accelerate business performance.

The Director will develop a centralized Customer Intelligence Platform that provides a unified view of customer health, value realization, product adoption, retention risk, expansion opportunity, and commercial performance. The role will partner closely with Revenue Strategy & Analytics, Revenue Growth Programs, Renewal Operations & Commercial Optimization, Customer Success, Customer Support, Product, Sales, and Finance to identify opportunities and enable execution.

The Mission is to build the organization's customer intelligence and AI capabilities by transforming customer data into predictive insights that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth.

The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level.

Key Responsibilities:

• Design, build, and maintain a centralized Customer Intelligence Platform.
• Develop a comprehensive Customer 360 environment integrating:
• Customer Support interactions
• CRM activity
• Contract and renewal data
• Financial and billing information
• Customer sentiment and engagement metrics
• Establish governance, quality standards, and ownership for customer intelligence data.
• Create scalable and reusable customer intelligence frameworks supporting the organization's growth objectives.
• Develop customer health, customer value, and customer maturity measurement methodologies.

Revenue Opportunity Identification:

• Develop advanced analytical models that identify revenue growth opportunities across the customer lifecycle.
• Create predictive models that surface:
• Expansion opportunities
• Upsell opportunities
• Cross-sell opportunities
• Pricing optimization opportunities
• Customer retention risks
• Revenue leakage
• Build recommendation engines that prioritize the highest-value customer actions.
• Quantify revenue potential and expected business impact for identified opportunities.
• Establish an ongoing pipeline of actionable revenue opportunities for business review and prioritization.

Partner with the Director, Revenue Strategy & Analytics to:

• Build predictive revenue and customer behavior models.
• Improve forecasting accuracy through predictive analytics.
• Identify leading indicators of churn, retention, growth, and customer health.
• Analyze pricing effectiveness and commercial performance.
• Deliver executive insights that support revenue planning and strategic decision-making.
• Transform descriptive reporting into predictive and prescriptive analytics.

Primary Outcome: Enable Revenue Strategy & Analytics to identify, validate, quantify, and prioritize revenue opportunities through data-driven customer intelligence

Partner with the Director, Revenue Growth Programs to:

• Translate identified opportunities into executable growth initiatives.
• Prioritize opportunities based on expected revenue impact and likelihood of success.
• Develop business cases supporting strategic investments and growth programs.
• Measure initiative effectiveness and return on investment.
• Monitor execution outcomes and feed learnings back into opportunity identification models.
• Create closed-loop reporting between opportunity identification and program execution.

Primary Outcome: Deliver a continuously refreshed inventory of high-value growth opportunities ready for implementation across the business.

Partner with the Director, Renewal Operations & Commercial Optimization to:

• Develop predictive customer retention and churn models.
• Support pricing optimization and renewal strategy initiatives.
• Create AI-assisted renewal prioritization and recommendation engines.
• Improve renewal forecasting through predictive analytics.
• Enable automation of renewal workflows and decision-support processes.

Primary Outcome: Improve customer retention, reduce revenue attrition, and increase renewal performance through advanced customer intelligence.

Artificial Intelligence Strategy & Enablement:

• Lead evaluation and implementation of AI solutions across Revenue Management and customer-facing functions.
• Identify opportunities to leverage AI to improve customer outcomes, productivity, and decision-making.
• Develop AI-enabled workflows that automate repetitive analysis and operational activities.
• Evaluate emerging AI technologies and their potential business applications.
• Establish AI governance, adoption, and performance measurement frameworks.
• Serve as the organization's subject matter expert on customer intelligence and AI innovation.

Executive Reporting & Business Insights:

• Develop executive dashboards, scorecards, and intelligence reporting.
• Present strategic findings and recommendations to senior leadership.
• Translate complex analytical findings into clear, business-focused recommendations.
• Support annual planning, forecasting, operating reviews, and executive decision-making.
• Serve as a trusted advisor on customer trends, commercial opportunities, and AI strategy.

Success Metrics:

• Customer Data Coverage
• Customer Data Quality
• Customer Health Score Accuracy

Revenue Impact

• Estimated Revenue Pipeline Generated
• Expansion Opportunity Conversion
• Customer Retention Improvement

Predictive Analytics

• Churn Prediction Accuracy
• Customer Health Prediction Accuracy
• Forecast Accuracy Improvement
• Revenue Opportunity Identification Accuracy

AI & Automation

• AI Solution Adoption
• Productivity Improvements
• Time Savings Generated Through Automation

Business Impact

• Growth Program ROI
• Customer Retention Improvement
• Executive Stakeholder Satisfaction
• Business Value Created Through Customer Intelligence

Qualifications and Skills Required:

• Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field.
• 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines.
• Experience building predictive models and advanced analytical solutions.
• Strong proficiency with SQL, Python, and modern analytics platforms.
• Experience working with large-scale customer and commercial datasets.
• Proven ability to translate data into strategic business recommendations.
• Strong communication and executive presentation skills.
• Experience influencing cross-functional business leaders.

Preferred Qualifications and Skills:

• Master's degree in Data Science, Analytics, Statistics, Business Analytics, Computer Science, or related field.
• Experience in SaaS, technology, subscription, fintech, or recurring revenue businesses.
• Experience building Customer 360, Customer Intelligence, or Customer Health platforms.
• Experience with Generative AI, Agentic AI, Machine Learning, and predictive analytics solutions.
• Familiarity with CRM, Customer Success, Support, Product Usage, and Revenue Operations systems.

Core Competencies:

• Artificial Intelligence Strategy
• Data Science & Machine Learning
• Predictive Analytics
• Revenue Growth Analytics
• Commercial Analytics
• Executive Storytelling
• Strategic Thinking
• Cross-Functional Leadership

We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.