AI Enablement Analyst; Sales

Why Choose Bottomline?

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!

AI Enablement Analyst (Sales) – Revenue Operations

Work Authorization
Candidates must be authorized to work in the United States on a full‑time basis without restriction. Visa sponsorship or transfers are not available for this position.

Role Summary

TheAI Analyst will support Revenue Operations by engineering and enabling the adoptionof AI-drivenagents,scalinganalyticsand workflowsfor revenue driving sales teams within Paymode. This role combines data analyticsexpertisewith AI implementation capabilities, focusing on preparing high-quality, governed data and deploying AI solutions that improve efficiency, accelerate insights, and drive business outcomes.

This role will directlyimpacthow people, AI, data,and technology work together to driverevenuegrowth.
This individual will act as a bridge betweensales,business stakeholders, data infrastructure, and AI technologies, helping transition the organization toward more automated and scalable decision-makingand insights.

This role will influence the system of record that Paymode sales-orientedautomationsand modelsreadfrom and validate the accuracy of the outcomes.

Key Responsibilities

• Identify and implement AI use cases that improve Rev Ops processes, reporting, and operational efficiency.
• Lead AIagent deployment for sales functionsend-to-end, including use case definition, intake, testing, deployment, and adoption.
• Prepare and structure data to support AI applications, including building and maintaining reusable datasets and semantic models.
• Ensure data quality, governance, and consistency to enable trusted AI-driven insights.
• Support AI-enabled analytics tools to enable faster, self-service insights for business users.
• Partner with
  
  RevOpsand cross-functional teams to translate business needs into data and AI solutions, while rationalizing the AI deployment pipeline based on sales need and validated business cases.
• Identify opportunities to automate manual processes and scale analytics capabilities within Revenue Operations.
• Contribute to AI roadmap development and continuous improvement of AI capabilities.
• Ensure all AI initiatives comply with enterprise governance, risk, and security standards.

Required Qualifications

• 0-3 years of experience in data analytics, business intelligence, or a related field.
• Strong SQL and data modeling skills; experience with BI tools (e.g., Power BI, Snowflake)
  Hands-on experience working with structured datasets and building scalable data solutions.
• Experience with AI tools and technologies, including generative AI, natural language query tools, or AI-assisted analytics.
• Understanding of corporate AI implementation, including use case development, deployment, and adoption processes.
• Knowledge of AI governance, risk, and compliance considerations in an enterprise environment.
• Strong problem-solving skills with the ability to translate business requirements into technical solutions.
• Experience working cross-functionally with business and technical teams

Preferred Qualifications

• Experience enabling self-service analytics or semantic modeling strategies
• Familiarity with enterprise data architecture and data governance frameworks
• Experience piloting or scaling AI use cases within business operations
• Experience in business analyst function within SaaS and/or Payments industry

Core Competencies

• Data-first mindset with strong focus on quality and scalability
• Forward-thinking and innovative approach to problem solving
• Ability to connect AI capabilities to tangible business impact
• Strong communication and collaboration skills
• Execution-oriented with the ability to move from idea to production

Success Measures

• Increased adoption of AI-enabled workflows by Sales teams within Paymode.
• Reduced manual reporting and analysis effort
• Faster time to insight and decision-makingwithin Rev Ops and Sales.
• Measurable improvements inRevOpsefficiency and scalability

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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.