AI Enablement Analyst
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. Bottomline scores B on the Alion truth index.
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!
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
The AI Enablement Analyst will support Revenue Operations by helping bring AI-powered tools, agents, analytics, and automation into the day-to-day workflows of Paymode's Sales organization.
This is a hands-on role at the intersection of Sales, Revenue Operations, data, and AI. You will help identify high-impact AI use cases, prepare and structure trusted data, deploy and test AI-enabled solutions, and drive adoption across revenue-generating teams.
You will serve as a bridge between Sales stakeholders, Revenue Operations, data teams, and AI technologies, translating business needs into practical, scalable solutions. Your work will help ensure the data powering AI models and automations is accurate, governed, and reliable while enabling faster insights, reducing manual work, and improving how our teams operate.
This is an opportunity to directly influence how people, data, AI, and technology come together to support revenue growth.
How you'll make an impact:
- Identify and implement AI and automation use cases that improve Sales and Revenue Operations workflows, reporting, and efficiency.
- Support the 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 that help business users 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 opportunities based on business need, feasibility, and potential impact.
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.
What will make you successful:
- 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 both business and technical stakeholders.
Preferred Qualifications:
- 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.
Core Competencies:
- Data-driven: Strong focus on data quality, accuracy, and scalability.
- Business-minded: Able to connect AI and data capabilities to meaningful business outcomes.
- Curious and innovative: Eager to explore new ways AI can improve how Sales teams work.
- Collaborative: Comfortable partnering across Sales, Revenue Operations, data, and technology teams.
- Execution-oriented: Able to move from idea and experimentation into practical, usable solutions.
- Adaptable: Comfortable working in a quickly evolving AI and technology landscape.
What Success Looks Like
Success in this role will be reflected through:
- Increased adoption of AI-enabled workflows across Paymode Sales teams.
- Reduced manual reporting, analysis, and operational work.
- Faster access to reliable insights for Sales and Revenue Operations.
- Improved quality and reliability of the data supporting AI-driven tools and automations.
- Measurable improvements in Revenue Operations efficiency and scalability.
- AI use cases that move beyond experimentation and deliver practical business value.
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.