Badger Holdings is a specialised insurance and related services company.
Founded in 1995, we currently employ over 700 staff members across South Africa and Australia and insure over 180 000 clients with premiums in excess of US$100 million.
Through a unique blend of skills and expertise, Badger Holdings has grown into a formidable force in the insuran...
Read more about this company
Business Analyst (AI Product Delivery) | On-site | George, WC
Map real business processes and design improved, AI-enabled workflows
Own requirements end-to-end, from discovery through to delivery and acceptance
Write Product Requirement Documents that specify inputs, outputs, acceptable behaviour ranges, and the human's role in the loop, not just features
Translate executive vision into structured, build-ready specifications
Use data to validate assumptions and challenge what you are told
Define edge cases, failure modes, and escalation paths as first-class requirements, not afterthoughts
Run structured discovery sessions and facilitate workshops to resolve conflicting stakeholder priorities
You will need to
Have 3+ years of experience as a Business or Systems Analyst, owning delivery from discovery to implementation
Build structured process maps (BPMN, UML, or similar) without guidance
Have worked in Agile environments: sprint participation, stand-ups, backlog refinement, and retrospectives
Write user stories, functional specs, or PRDs you would be prepared to defend at interview
Query and interpret data (SQL, Excel, or BI tools) to validate requirements and challenge assumptions
Prioritise work using structured frameworks (MoSCoW or equivalent) and maintain traceability across the requirement lifecycle
Run workshops, challenge stakeholders, and navigate conflicting priorities within a department
You will stand out if you
Have written PRDs or functional specifications for products where the output was non-deterministic or required human review: customer-facing automation, recommendation features, or decision-support tools all count
Understand how to design for uncertainty, including specifying what happens when the AI gets it wrong, not only when it gets it right
Have experience in regulated environments: insurance, finance, or healthcare
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