Customer Intelligence & AI Lead

About this job

Bottomline, a global leader in business payments and cash management with over 35 years of experience, is hiring a Customer Intelligence & AI Lead in India. In this role, you will build and lead the company's customer intelligence and artificial intelligence capabilities, acting as the intelligence engine of the Revenue Management organization. You will transform customer, product, commercial, operational, support, and financial data into predictive insights that drive revenue growth, improve customer retention, and accelerate business performance. A normal day involves designing a centralized Customer Intelligence Platform, developing advanced analytical and machine learning models for revenue growth and churn prediction, partnering with various teams like Revenue Strategy, Customer Success, and Product, and presenting strategic findings and executive dashboards to senior leadership to guide decision-making.

Responsibilities

• Design, build, and maintain a centralized Customer Intelligence Platform with a comprehensive Customer 360 environment.
• Develop advanced analytical and predictive models to identify expansion, upsell, cross-play, pricing optimization, and retention risks.
• Partner with Revenue Strategy, Growth Programs, and Renewal Operations to execute growth initiatives and reduce revenue attrition.
• Lead the evaluation and implementation of AI solutions and automated workflows across Revenue Management and customer-facing functions.
• Establish data governance, quality standards, and measurement methodologies for customer intelligence.
• Develop executive dashboards, scorecards, and intelligence reporting to present strategic recommendations to senior leadership.

Requirements

• Expertise in data science, artificial intelligence, machine learning, customer analytics, and business intelligence.
• Ability to influence decision-making and present insights at the executive level.
• Experience in building centralized customer intelligence platforms or Customer 360 environments.
• Proven background in developing predictive revenue, customer behavior, and churn models.
• Experience in commercial strategy, pricing optimization, and revenue growth initiatives.

Who should apply

This role suits experienced professionals with a strong background in data science, artificial intelligence, machine learning, and commercial strategy within a business environment. Candidates should have a proven ability to handle complex customer data, build predictive models, and influence executive-level decision-making. Since experience requirements are not specifically stated in terms of years, applicants with solid leadership experience in customer intelligence and AI enablement are encouraged to apply.

Frequently asked questions