AI Enablement Analyst

Bottomline•Portsmouth, NH

About The Position

The AI Enablement Analyst supports Revenue Operations by bringing AI-powered tools, agents, analytics, and automation into the day-to-day workflows of Paymode's Sales organization. This hands-on role works across Sales, Revenue Operations, data, and AI, translating business needs into practical, scalable solutions. The analyst identifies high-impact AI use cases, prepares and structures trusted data, deploys and tests AI-enabled solutions, and drives adoption across revenue-generating teams. The role also helps ensure that data used by AI models and automations is accurate, governed, and reliable, supporting faster insights, less manual work, and improved operations. Success is reflected in increased adoption of AI-enabled workflows, reduced manual reporting and operational work, faster access to reliable insights, improved data quality, and measurable gains in Revenue Operations efficiency and scalability. AI use cases should progress beyond experimentation to deliver practical business value.

Requirements

0–3 years of experience in data analytics, business intelligence, Revenue Operations, business analysis, or a related field.
Strong SQL skills and foundational knowledge of data modeling.
Hands-on experience working with structured datasets and building or supporting scalable data solutions.
Experience with business intelligence and data platforms such as Power BI, Snowflake, or similar technologies.
Exposure to AI tools and technologies, including generative AI, natural-language querying, AI-assisted analytics, or AI-powered workflow automation.
Understanding of how AI solutions move from business use case through testing, deployment, and adoption.
Familiarity with data quality, AI governance, risk, security, and compliance considerations within a business environment.
Strong analytical and problem-solving skills, with the ability to translate business requirements into practical technical solutions.
Strong communication skills and experience collaborating with business and technical stakeholders.
Authorization to work in the United States on a full-time basis without restriction; visa sponsorship or transfers are not available.

Nice To Haves

Experience supporting Sales, Revenue Operations, or other revenue-generating teams.
Experience enabling self-service analytics or working with semantic models.
Familiarity with enterprise data architecture and data governance frameworks.
Experience piloting, testing, or scaling AI and automation use cases within business operations.
Experience working in a business analyst or data analyst capacity within SaaS, FinTech, or Payments.
Exposure to sales technology, CRM, or Revenue Operations platforms.

Responsibilities

Identify and implement AI and automation use cases that improve Sales and Revenue Operations workflows, reporting, and efficiency.
Support end-to-end deployment of AI agents for Sales teams, including use-case definition, requirements gathering, testing, deployment, and adoption.
Prepare, structure, and maintain data used by AI applications, including reusable datasets and semantic models.
Monitor and improve data quality, consistency, and governance to support trusted AI-driven insights.
Enable AI-powered and self-service analytics so business users can access insights and make decisions more quickly.
Partner with Sales, Revenue Operations, and technical teams to translate business challenges into scalable data and AI solutions.
Evaluate and prioritize AI and automation opportunities based on business need, feasibility, and potential impact, with a focus on reducing manual processes and scaling Revenue Operations capabilities.
Ensure AI initiatives align with enterprise governance, risk, security, and compliance standards.
Validate AI-generated outputs and help establish processes for monitoring accuracy, reliability, and business value.

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