AI Business Analyst. The role, the market signal, and how to build it in your org.
The business analyst for the agentic era. Scopes and specifies AI initiatives at the task level, decides which tasks an agent should own versus a person, writes the requirements an AI build can satisfy, and measures whether the work actually changed.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
7 postings · 7 distinct titles · from 264,613 real job postings · see the live data →
What the postings ask this role to do
126 tasks extracted from real AI Business Analyst job descriptions, classified Automate / Augment / Human-only. Only 3.2% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.
- Track delivery progress.
- Analyser les tickets de 1er et 2ème niveau
- Track key project metrics, business trends, and delivery progress
- Maintain and update master data attribute files and related governance documentation
- Identify data gaps.
- Create process maps.
- Create demo narratives.
- Perform data discovery.
- Identify source systems.
- Encadrer une équipe amoa/amoe
- Coordinate solution delivery with product teams.
- Participate in planned travel to pune as needed.
- Coordinate solution delivery with security teams.
- Animer des groupes de travail avec les exploitants
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will own, then connect those responsibilities to practice and assessment.