AI Business Operations Senior Specialist
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About the Role
Onbe, a fast-growing FinTech, bringing innovation to a rapidly growing global marketplace, stands for “on behalf.” Because that’s exactly how we work: on behalf of our clients, as their comprehensive payments partner. We transform the way payments are imagined — as an opportunity for innovation, a source of insight to customers, and a way to connect with partners around the globe!
Summary: The AI Business Operations Senior Specialist will partner with priority departments, beginning with Implementations and FinOps, to identify repetitive work and legacy business problems; map current-state workflows; design LLM-fed automation and AI-enabled workflows; build agents and automations using approved platforms; measure business impact; document best practices; train employees; and rotate to the next function.
Key Responsibilities
- Observe, document, and map business workflows, including systems, handoffs, exceptions, decision points, and manual effort.
- Identify repetitive work, process bottlenecks, legacy business problems, and opportunities to reduce avoidable operational effort.
- Determine whether each opportunity is best addressed through standard automation, LLM-assisted workflow, agentic orchestration, or a combination of approaches.
- Design LLM-fed automation that can classify, summarize, extract, route, validate, or structure information so it can reliably feed downstream workflows.
- Build and configure AI agents, copilots, and workflow automations using approved platforms, including Power Automate, Glean, Microsoft Copilot Studio, Decagon, and Atlassian Rovo.
- Use Power Automate and connected enterprise systems to streamline approvals, notifications, case creation, data movement, reporting, and other repeatable work.
- Use Glean, Copilot Studio, Decagon, and Rovo to improve knowledge access, employee self-service, customer-service workflows, operational triage, and task execution.
- Pilot solutions with end users, collect feedback, test edge cases, and iterate until the workflow is useful, safe, and maintainable.
- Measure productivity gains, hours saved, cycle-time improvement, quality, adoption, reduction in manual effort, and resolution of legacy process issues.
- Create reusable prompts, agent patterns, workflow templates, documentation, testing approaches, and governance standards.
- Partner with People team/L&D to train employees, develop departmental champions, and support change management and adoption.
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