Documentation Business Analyst (AI-Assisted Knowledge Engineer) at Kegmil

About Kegmil

Kegmil is revolutionizing the way mission-critical assets are repaired and maintained – by transforming complex systems of people and processes into streamlined, intelligent operations. Our mission is to empower millions of deskless field service professionals across Asia’s asset-centric industries with superior technology to elevate service excellence, operational insight, and profitable growth. Our cloud-based, mobile-first, and AI-powered platform automates and optimizes every aspect of field service from job scheduling and dispatch to execution and reporting.

Kegmil is trusted by leading organizations across mission-critical sectors – including elevator, fire protection, data center, medical equipment, and aerospace – to build the next-generation digital backbone that unifies FSM, modular ERP, and AI agents into one seamless platform for simpler, smarter, field service.

We are a curious and collaborative team that finds purpose in solving real problems for our customers. We learn and grow together in a high-trust, inclusive culture – where ideas are heard, ownership is encouraged, and customer success is everyone’s priority.

Location: Remote - HCM
Department: Product & Engineering
Reports to: VP of Product

We are looking for a Documentation Business Analyst who combines strong system thinking, business rule understanding, and AI-assisted documentation techniques to build and maintain living system knowledge across our FSM SaaS platform.
This role works at the intersection of Product, Engineering, QA, and Customer Support to ensure that complex system logic, rule engines, integration flows, and configurations are fully captured and easily referenceable for both internal and client-facing users.

Key Responsibilities

• Collaborate with PO, Developers, QA, and CS to extract:
  
  • Business rules
    
  • System configurations
    
  • Rule engine logic (YAML/JSON)
    
  • Integration mapping (ERP, SAP, external APIs)
    
• Use structured templates and AI tooling to build documentation:
  
  • Rule Specifications
    
  • API Reference
    
  • Configuration Matrix
    
  • Workflow Diagrams (Mermaid.js / PlantUML)
    
  • Client Help Articles
    
• Proactively identify knowledge gaps and drive clarification sessions.
  
• Maintain version-controlled documentation repository (Confluence + Git-based configs).
  
• Use AI tools to assist in drafting, version comparison, consistency checking, and automated doc generation.
  
• Ensure documentation remains synchronized with system releases, tenant customizations, and ongoing product evolution.

Required Qualifications

• 2+ years experience as Business Analyst / System Analyst / Product Analyst in SaaS, ERP, or FSM domain.
  
• Strong system thinking and ability to map complex workflows and conditional logic.
  
• Comfortable reading technical configs (YAML, JSON, APIs, rule engines).
  
• Experience interviewing cross-functional teams to extract undocumented logic.
  
• Solid writing skills to translate technical logic into clear documentation.
  
• Familiar with AI tools (ChatGPT, Claude, etc.) for writing assistance.
  
• Familiar with documentation platforms (Confluence, Notion, Swagger, Git, Mermaid.js).

Preferred Qualifications

• Exposure to ERP systems (SAP, MS Dynamics, Frappe, etc.).
  
• Experience with rule engines or configuration-driven platforms.
  
• Experience in knowledge management or knowledge ops design.