- Location
- Midrand
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Seniority
- Senior
- Experience
- 2+ years
- Education
- Bachelor
- Closing date
- Today
- Source
- CareersPage
Description
Senior Business Analyst (AI)
Location: Midrand (Hybrid – 3 Days Onsite, 2 Days Remote)
Contract Duration: Initial 12 Months (with the intention to extend for a further 8 months)
Drive AI Innovation. Shape Business Solutions. Deliver Measurable Value.
An established organisation is seeking an experienced Senior Business Analyst (AI & Intelligent Automation) to join a strategic AI delivery team focused on identifying, shaping, and delivering innovative AI and automation solutions.
This is an exciting opportunity for a Business Analyst with strong analytical, technical, and stakeholder management skills who can bridge the gap between business and technology. The successful candidate will play a key role in discovering opportunities, defining requirements, supporting delivery, and ensuring AI and Intelligent Automation solutions deliver measurable business value.
Key Responsibilities
Business Analysis & Use Case Discovery
- Conduct discovery workshops with business stakeholders to understand business processes, pain points, and opportunities.
- Analyse existing processes and identify opportunities for AI, machine learning, intelligent automation, or process improvement.
- Assess solution feasibility, including data availability, process maturity, technical fit, and business readiness.
- Develop business cases supported by measurable benefits and realistic assumptions.
- Maintain and prioritise the pipeline of AI and automation opportunities.
Requirements Gathering & Solution Design
- Produce current and future-state process models using BPMN or similar methodologies.
- Document functional and non-functional requirements, user stories, and acceptance criteria.
- Analyse business rules, exception scenarios, and data requirements.
- Define performance, security, audit, compliance, and operational requirements.
- Collaborate with engineering teams to ensure requirements are complete, accurate, and delivery-ready.
Delivery & Testing Support
- Support Agile delivery teams throughout the software development lifecycle.
- Participate in backlog refinement, sprint planning, demonstrations, and defect resolution.
- Design and execute test scenarios, including user acceptance testing.
- Support production deployments, hypercare, operational handover, and documentation.
- Produce user guides, runbooks, and standard operating procedures.
Data Analysis & Governance
- Analyse and validate data sources, quality, ownership, lineage, and accessibility.
- Establish baseline metrics and support benefit measurement after implementation.
- Ensure solutions comply with governance, privacy, security, and regulatory requirements.
- Work closely with technical teams to resolve integration, platform, and data dependencies.
Stakeholder Engagement
- Facilitate workshops with business and technical stakeholders.
- Translate complex business requirements into practical technology solutions.
- Present findings, recommendations, and solution options to stakeholders.
- Mentor junior analysts and contribute to continuous improvement within the Business Analysis function.
Minimum Requirements
- Bachelor's Degree in Information Systems, Engineering, Computer Science, Business, or a related field.
- 6+ years' experience in Business Analysis within enterprise environments.
- Minimum 2 years' experience supporting AI, Machine Learning, Data, or Intelligent Automation initiatives.
- Proven experience taking solutions from discovery through implementation and business adoption.
- Strong Agile delivery experience within cross-functional teams.
- Experience working with business stakeholders across multiple business functions.
Technical Requirements
- Business Analysis
- AI & Intelligent Automation
- Business Process Analysis
- BPMN or Process Modelling
- Requirements Gathering
- Functional & Non-Functional Requirements
- User Stories & Acceptance Criteria
- SQL
- Data Analysis & Validation
- GCP or AWS Cloud Platforms
- APIs & Integration Patterns
- Agile Delivery
- User Acceptance Testing (UAT)
- Data Governance
- POPIA & Compliance
Preferred Experience
- CBAP, CCBA, or IIBA Business Analysis certification.
- Lean, Six Sigma, or Process Improvement qualifications.
- Experience with Robotic Process Automation (RPA), Intelligent Document Processing, or Workflow Automation.
- Telecommunications, financial services, or large enterprise experience.
- Exposure to AI solution patterns, LLMs, and Intelligent Automation platforms.
We're Looking For Someone Who Is
- An exceptional problem solver with strong analytical thinking skills.
- Comfortable facilitating workshops and engaging with senior stakeholders.
- Highly organised with excellent documentation and communication abilities.
- Curious, inquisitive, and able to challenge assumptions constructively.
- Detail orientated while maintaining a strong commercial focus.
- Comfortable working in Agile environments and collaborating across multidisciplinary teams.
- Passionate about using AI and automation to improve business outcomes.
- Able to manage multiple priorities within a fast-paced environment.
Why Apply?
This is an opportunity to work on enterprise-scale AI and Intelligent Automation initiatives that are transforming business operations. You'll collaborate with high-performing technology and business teams while helping shape innovative AI solutions that deliver measurable business value.