AI Enablement Analyst (Sales)

<div class="content-intro"><h2>Why Choose Bottomline?</h2> <p>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!</p></div><p><strong>AI Enablement Analyst (Sales) – Revenue Operations</strong> </p> <p><strong>Work Authorization</strong><br>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.</p> <p><strong>Role Summary</strong> </p> <p>The AI Analyst will support Revenue Operations by engineering and enabling the adoption of AI-driven agents, scaling analytics and workflows for revenue driving sales teams within Paymode. This role combines data analytics expertise with 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 directly impact how people, AI, data, and technology work together to drive revenue growth. <br> <br>This individual will act as a bridge between sales, business stakeholders, data infrastructure, and AI technologies, helping transition the organization toward more automated and scalable decision-making and insights. This role will influence the system of record that Paymode sales-oriented automations and models read from and validate the accuracy of the outcomes. </p> <p><strong>Key Responsibilities</strong> </p> <ul> <li>Identify and implement AI use cases that improve RevOps processes, reporting, and operational efficiency.</li> <li>Lead AI agent deployment for sales functions end-to-end, including use case definition, intake, testing, deployment, and adoption. </li> <li>Prepare and structure data to support AI applications, including building and maintaining reusable datasets and semantic models.</li> <li>Ensure data quality, governance, and consistency to enable trusted AI-driven insights.</li> <li>Support AI-enabled analytics tools to enable faster, self-service insights for business users.</li> <li>Partner with RevOps and 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.</li> <li>Identify opportunities to automate manual processes and scale analytics capabilities within Revenue Operations. </li> <li>Contribute to AI roadmap development and continuous improvement of AI capabilities. </li> <li>Ensure all AI initiatives comply with enterprise governance, risk, and security standards.</li> </ul> <p><strong>Required Qualifications</strong> </p> <ul> <li>0-3 years of experience in data analytics, business intelligence, or a related field.</li> <li>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. </li> <li>Experience with AI tools and technologies, including generative AI, natural language query tools, or AI-assisted analytics.</li> <li&