AI Business Analyst, Knowledge Architect – Contract

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Houseful

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏠 Real Estate

💸 Finance

☁️ SaaS

Real Estate • Finance • SaaS

Houseful is a company that creates the connections that power better property decisions. Operating primarily in the UK property market, it offers a suite of services through its brands like Zoopla, Mojo Mortgages, and PrimeLocation. These services help consumers make informed home choices with its offerings of comprehensive property data, personalised recommendations, and mortgage brokering. Houseful is structured around three business units: Homes, Software, and Data & Risk, aiming to enhance the efficiency and experience of property transactions. Utilizing software and data-driven insights, Houseful supports both consumers and businesses such as estate agents and home builders in navigating and succeeding in the property industry.

📋 Description

• Map current-state workflows and quantify manual effort and bottlenecks • Translate findings into clear, prioritised requirements for automation delivery • Design the taxonomies and knowledge structures that power AI-enabled tools • Turn scattered documentation into structured, AI-ready knowledge bases • Audit, clean and restructure existing SOPs, policies and training content for AI consumption, including RAG knowledge bases • Establish documentation standards: format, ownership and review cadence • Work with the AI Engineer to ensure knowledge bases serve retrieval pipelines accurately • Produce SOPs, process maps and RACI documentation where needed • Support adoption with playbooks and training materials • Track realised benefits after each automation is deployed

🎯 Requirements

• Proven business analysis experience in SaaS or technology environments • Strong process mapping and discovery skills (BPMN or similar) • Experience in knowledge management or information architecture: taxonomies, content structuring, metadata • Familiarity with how LLMs consume knowledge (RAG awareness) is highly desirable • Experience with documentation platforms such as Confluence, Notion or similar • Working data literacy; SQL desirable