AI Business Operations Senior Specialist

Onbe•Plano, TX

6d•Remote

About The Position

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.

Requirements

Bachelor's degree in Business Analytics, Information Systems, Data Science, or a related field.
Computer Science or Software Engineering is welcome but not required.
Hands-on experience with AI copilots, LLM applications, and no-code/low-code automation platforms, including Microsoft Copilot Studio, Power Automate, Glean, Decagon, Rovo, Claude, Zapier, or similar tools.
Ability to design LLM-fed workflows that turn unstructured inputs into reliable, reviewable automation steps.
Ability to map a business process and translate it into automation, agent, data, and testing requirements.
This is a business-process and platform-configuration role, not primarily a software engineering role.
Understanding of prompt design, grounding, knowledge sources, workflow orchestration, human-in-the-loop review, and AI output evaluation.
Ability to identify when a use case requires technical engineering, security review, data remediation, or production support.
Strong communication, facilitation, documentation, and problem-solving skills.
Curiosity, adaptability, customer mindset, and the ability to work credibly with both business teams and technical partners

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.
Maintain a prioritized AI and automation backlog, communicate progress, and rotate to the next function after the initial use case is stabilized.