At a Glance
- Tasks: Map workflows, identify inefficiencies, and structure knowledge for AI transformation.
- Company: Join Alto Software Group, a leading B2B SaaS platform in the UK property industry.
- Benefits: Competitive contract pay, flexible working, and the chance to shape AI capabilities.
- Other info: Dynamic role with opportunities for professional growth and collaboration across teams.
- Why this job: Be at the forefront of AI innovation, making a real impact on business efficiency.
- Qualifications: Experience in business analysis, process mapping, and knowledge management required.
The predicted salary is between 60000 - 80000 £ per year.
6 Months Initial Contract - Must work from the UK. Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year. We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.
This is a discovery and enablement role responsible for finding the workflows AI should transform and structuring the knowledge AI depends on.
The Role: We are hiring a contract Business Analyst / Knowledge Architect to act as the discovery engine for ASG’s internal AI programme. You will map how work actually gets done across the business, identify and quantify the inefficiencies worth automating, and structure our organisational knowledge so AI systems can use it reliably.
You will work cross-functionally across Customer Operations, Marketing, Education, Training, Finance and Strategy to:
- 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
Core Responsibilities:
Workflow Discovery & Analysis- Map current-state workflows across functions through interviews, observation and system data
- Identify and quantify inefficiencies, manual effort and bottlenecks
- Build the business case for each automation opportunity: baseline metrics, expected ROI and margin impact
- Translate findings into clear requirements for the AI Engineer and delivery teams
- Design taxonomies and knowledge structures for company documentation
- 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
What Success Looks Like (6–12 Months):
- Priority workflows mapped, with quantified baselines and a costed opportunity backlog
- A structured, AI-ready knowledge base covering priority domains
- A steady requirements pipeline feeding automation delivery
- Documentation standards adopted and owned by the business
Required Experience:
Analysis & Knowledge Management- 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
- Skilled at stakeholder interviewing and eliciting how work actually gets done
- Able to quantify processes: cycle times, volumes, cost of manual effort
- Track record of delivering as a contractor with clean documentation and handover
- Structured and rigorous
- Curious, with high attention to detail
- Excellent written communication
- Comfortable working in ambiguity
- Outcome-focused and pragmatic
Why This Role Matters: AI is only as good as the workflows it automates and the knowledge it draws on. Your discovery work decides where ASG’s AI investment lands, and your knowledge architecture determines whether AI tools give accurate answers. This role turns AI from a set of tools into a capability built on a true understanding of how the business works.
AI Business Analyst / Knowledge Architect (Contract) employer: Houseful
At Alto Software Group, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our focus on continuous learning and development, particularly in the rapidly evolving field of AI. Working from the UK, you'll be part of a dynamic team dedicated to transforming the property industry, with the unique opportunity to shape the future of our AI initiatives while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Business Analyst / Knowledge Architect (Contract)
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We think you need these skills to ace AI Business Analyst / Knowledge Architect (Contract)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Houseful, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Houseful, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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