Business Analyst - Agentic Engineering

Work directly with customers to document the target-state workflows, data and products. You translate messy, real-world operations into clean, AI-ready specifications that our engineering team can build against.

What you'll do

• Run discovery with the customer. Lead workshops, shadow operators, interview SMEs and reverse-engineer business processes. Produce the current-state map quickly and honestly.
• Define the target-state workflow. Re-design each in-scope process for an agent-first world. Decide what the agent owns, what the human owns, where the handoffs are, what the exception paths look like, and what "done" means
• Specify the data. Identify the entities the workflow depends on (customer, job, asset, invoice, technician), where they live today, how clean they are, and what the master record needs to look like. Flag gaps before engineering hits them
• Capture institutional knowledge. Surface the tacit rules and tribal heuristics that experienced staff carry in their heads — pricing exceptions, supplier quirks, regional rules, "never do X on a Friday" - and structure them for AI tooling
• Write detailed specifications. Produce the artefact engineering builds against: triggers, inputs, decisions, tool calls, outputs, edge cases, success criteria, and the human checkpoints. Clear enough for an engineer; precise enough that the customer can sign it off
• Own the customer relationship through delivery. Validate prototypes with the customer, run UAT, manage scope conversations honestly, and adjust the spec when reality pushes back
• Patterns you find on one engagement become reusable modules and reference workflows. You will work with Product to harden what should be productised and keep what stays bespoke clearly bespoke

What we're looking for

• 3+ years in business analysis, solution consulting, process design, or similar customer-facing analyst roles
• Strong workflow and process modelling skills - BPMN, swimlanes, or equivalent; comfort moving between high-level narrative and step-level detail
• Hands-on experience documenting integrations and data contracts (APIs, events, reference data, master data)
• Confident in front of both operational staff and senior stakeholders - you can run a workshop and a steering meeting
• Genuine interest in AI agents and how they change the shape of business workflows; prior exposure to LLMs or agentic systems is preferred
• Direct, concise written communication - your specs are read by engineers and signed off by executives