AI Business Analysis Analyst III (Remote)

Neumo Holdings LLC• TX, US, TX

8d•Remote

About The Position

This role involves systematically investigating how people across Neumo work, documenting findings, and identifying processes ripe for AI automation. It's an ongoing operational audit where you will move through every department and product suite, map workflows, and build a prioritized roadmap of automation opportunities. This is a high-autonomy discovery role where you own the full cycle: finding opportunities, documenting processes, quantifying value, and making the case for change. You will work directly with department leaders, frontline employees, and the AI team to prioritize high-impact work. The ideal candidate has a knack for identifying inefficiencies, can quickly build trust across teams, and can differentiate between processes that need automation versus reorganization.

Requirements

3+ years in a role focused on business process analysis, operations improvement, or workflow optimization.
Experience working across multiple departments or business units, not just within a single silo.
Experience in a company going through a merger, integration, or large-scale operational transformation.
Experience with process mining, value stream mapping, or similar structured discovery methods.
Experience managing or contributing to an internal automation request intake process.
Demonstrated ability to map complex, multi-step processes and identify automation opportunities within them.
Strong interviewing and observation skills.
Ability to quantify the impact of process changes (time, cost, error rate, throughput).
Clear, concise documentation skills. Your process maps and opportunity assessments are the deliverable.
Comfort with ambiguity. You’ll be investigating areas of the company where no one has mapped the process before.
Familiarity with AI capabilities at a conceptual level (what LLMs can and can’t do, what agentic workflows look like, where automation breaks down).
Background in gov-tech, SaaS, or enterprise software environments.
Familiarity with Jira, Confluence, or similar project management tools.

Nice To Haves

Engineering or coding skills. This role is about process expertise and discovery.
AI/ML technical depth.

Responsibilities

Shadow employees, conduct structured interviews, and observe workflows firsthand to identify repeated, high-value knowledge work.
Document end-to-end processes: steps, frequency, time spent, data involved, decision points, and handoffs.
Classify which steps in a process can be fully automated (AI or software), which need human-in-the-loop verification, and which should stay manual.
Quantify the value of each automation opportunity (time saved, error reduction, throughput increase) so the team can prioritize effectively.
Prioritize the backlog of automation opportunities, working with the AI team leader to sequence what gets built.
Manage intake from the automation request portal, where employees across the company submit their own ideas for AI-powered improvements.
Track adoption and impact after automations are deployed, identifying what’s working and what needs adjustment.
Identify patterns across departments: if three teams have the same bottleneck, that’s one reusable solution, not three custom projects.
Perform other duties as assigned.